Add project files and Docker setup

.output/1.txt

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+1

Dockerfile

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+# Step 1: Use an official Python slim base image
+FROM python:3.10-slim
+
+# Step 2: Install system dependencies
+RUN apt-get update && apt-get install -y \
+    wget \
+    tar \
+    && apt-get clean
+
+# Step 3: Add a non-root user (required by Hugging Face Spaces)
+RUN useradd -m -u 1000 user
+
+# Step 4: Switch to the "user" user
+USER user
+
+# Step 5: Set home and working directory
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+WORKDIR $HOME/app
+
+# Step 6: Copy requirements into the container
+COPY --chown=user requirements.txt ./requirements.txt
+
+# Step 7: Install Python dependencies
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt
+
+# Step 8: Copy all necessary files and folders into the container
+COPY --chown=user .output ./.output
+COPY --chown=user cache ./cache
+COPY --chown=user input ./input
+COPY --chown=user output ./output
+COPY --chown=user prompts ./prompts
+COPY --chown=user reports ./reports
+COPY --chown=user auth.py ./auth.py
+COPY --chown=user knowledge_graph.html ./knowledge_graph.html
+COPY --chown=user query_config.yaml ./query_config.yaml
+COPY --chown=user app.py ./app.py
+COPY --chown=user search_handlers.py ./search_handlers.py
+COPY --chown=user settings.yaml ./settings.yaml
+COPY --chown=user styles.css ./styles.css
+COPY --chown=user wiki.py ./wiki.py
+
+# Step 10: Expose the Streamlit default port
+EXPOSE 7860
+
+# Step 11: Define the entrypoint command
+CMD ["streamlit", "run", "app.py", "--server.port", "7860", "--server.address", "0.0.0.0"]

README.md

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+---
+title: Pwc Graphrag
+emoji: 📚
+colorFrom: pink
+colorTo: indigo
+sdk: docker
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import streamlit as st
+import asyncio
+import sys
+from pathlib import Path
+import base64
+import pandas as pd
+from typing import Literal, Tuple, Optional
+from wiki import render_wiki_tab
+from search_handlers import run_global_search, run_local_search, run_drift_search
+import auth
+
+
+import graphrag.api as api
+from graphrag.config import GraphRagConfig, load_config, resolve_paths
+from graphrag.index.create_pipeline_config import create_pipeline_config
+from graphrag.logging import PrintProgressReporter
+from graphrag.utils.storage import _create_storage, _load_table_from_storage
+
+
+st.set_page_config(page_title="GraphRAG Chat Interface", page_icon="🔍", layout="wide")
+
+# Define default avatars at the module level
+DEFAULT_USER_AVATAR = "👤"
+DEFAULT_BOT_AVATAR = "🤖"
+
+# Initialize session state for avatars
+if "user_avatar" not in st.session_state:
+    st.session_state.user_avatar = DEFAULT_USER_AVATAR
+if "bot_avatar" not in st.session_state:
+    st.session_state.bot_avatar = DEFAULT_BOT_AVATAR
+
+# Define avatar images
+USER_AVATAR = "👤"  # Default user emoji
+BOT_AVATAR = "🤖"  # Default bot emoji
+
+
+class StreamlitProgressReporter(PrintProgressReporter):
+    def __init__(self, placeholder):
+        super().__init__("")
+        self.placeholder = placeholder
+
+    def success(self, message: str):
+        self.placeholder.success(message)
+
+
+def render_chat_tab():
+    """Render the Chat tab content."""    
+    format_message_history()
+
+    # Chat input
+    if prompt := st.chat_input("Enter your query..."):
+        # Add user message to history with timestamp
+        st.session_state.messages.append(
+            {
+                "role": "user",
+                "content": prompt,
+                "timestamp": pd.Timestamp.now().strftime("%H:%M"),
+            }
+        )
+
+        # Process query
+        with st.spinner("Processing your query..."):
+            response_placeholder = st.empty()
+            try:
+                if st.session_state.search_type == "global":
+                    response, context = run_global_search(
+                        config_filepath=st.session_state.config_filepath,
+                        data_dir=st.session_state.data_dir,
+                        root_dir=st.session_state.root_dir,
+                        community_level=st.session_state.community_level,
+                        response_type=st.session_state.response_type,
+                        streaming=st.session_state.streaming,
+                        query=prompt,
+                        progress_placeholder=response_placeholder,
+                    )
+                elif st.session_state.search_type == "drift":
+                    response, context = run_drift_search(
+                        config_filepath=st.session_state.config_filepath,
+                        data_dir=st.session_state.data_dir,
+                        root_dir=st.session_state.root_dir,
+                        community_level=st.session_state.community_level,
+                        response_type=st.session_state.response_type,
+                        streaming=st.session_state.streaming,
+                        query=prompt,
+                        progress_placeholder=response_placeholder,
+                    )
+                else:
+                    response, context = run_local_search(
+                        config_filepath=st.session_state.config_filepath,
+                        data_dir=st.session_state.data_dir,
+                        root_dir=st.session_state.root_dir,
+                        community_level=st.session_state.community_level,
+                        response_type=st.session_state.response_type,
+                        streaming=st.session_state.streaming,
+                        query=prompt,
+                        progress_placeholder=response_placeholder,
+                    )
+
+                # Clear the placeholder before adding the final response
+                response_placeholder.empty()
+
+                # Add assistant response to history with timestamp
+                st.session_state.messages.append(
+                    {
+                        "role": "assistant",
+                        "content": response,
+                        "timestamp": pd.Timestamp.now().strftime("%H:%M"),
+                    }
+                )
+
+                # Show context in expander
+                with st.expander("View Search Context"):
+                    st.json(context)
+
+            except Exception as e:
+                error_message = f"Error processing query: {str(e)}"
+                st.session_state.messages.append(
+                    {
+                        "role": "assistant",
+                        "content": error_message,
+                        "timestamp": pd.Timestamp.now().strftime("%H:%M"),
+                    }
+                )
+
+        
+        st.rerun()
+
+
+def display_message(msg: str, is_user: bool = False, timestamp: str = "") -> None:
+    """Display a chat message with avatar and consistent formatting."""
+    role = "user" if is_user else "assistant"
+    message_class = "user-message" if is_user else "assistant-message"
+    avatar = st.session_state.user_avatar if is_user else st.session_state.bot_avatar
+
+    message_container = f"""
+        <div class="chat-message {message_class}">
+            <div class="avatar">
+                <div style="font-size: 25px; text-align: center;">{avatar}</div>
+            </div>
+            <div class="message-content-wrapper">
+                <div class="message-bubble">
+                    <div class="message-content">
+                        {msg}
+                    </div>
+                </div>
+                <div class="timestamp">{timestamp}</div>
+            </div>
+        </div>
+    """
+    st.markdown(message_container, unsafe_allow_html=True)
+
+
+def format_message_history() -> None:
+    """Display all messages in the chat history with consistent formatting."""
+    st.markdown('<div class="chat-container">', unsafe_allow_html=True)
+    for message in st.session_state.messages:
+        timestamp = message.get("timestamp", "")
+        display_message(
+            msg=message["content"],
+            is_user=(message["role"] == "user"),
+            timestamp=timestamp,
+        )
+    st.markdown("</div>", unsafe_allow_html=True)
+
+
+@st.cache_resource
+def load_css():
+    with open("styles.css", "r") as f:
+        return f.read()
+
+
+def initialize_session_state():
+    """Initialize session state variables if they don't exist."""
+    if "messages" not in st.session_state:
+        st.session_state.messages = []
+    if "response_placeholder" not in st.session_state:
+        st.session_state.response_placeholder = None
+    if "config_filepath" not in st.session_state:
+        st.session_state.config_filepath = None
+    if "data_dir" not in st.session_state:
+        st.session_state.data_dir = None
+    if "root_dir" not in st.session_state:
+        st.session_state.root_dir = "."
+    if "community_level" not in st.session_state:
+        st.session_state.community_level = 2
+    if "response_type" not in st.session_state:
+        st.session_state.response_type = "concise"
+    if "search_type" not in st.session_state:
+        st.session_state.search_type = "global"
+    if "streaming" not in st.session_state:
+        st.session_state.streaming = True
+    if "authenticated" not in st.session_state:
+        st.session_state.authenticated = False
+
+
+def main():
+    initialize_session_state()
+
+    # Authentication check
+    if not st.session_state.authenticated:
+        if auth.check_credentials():
+            st.session_state.authenticated = True
+            st.rerun()  # Rerun to reflect the authentication state
+        else:
+            st.stop()  # Stop further execution if authentication fails
+
+    # If authenticated, proceed with the main app
+    if st.session_state.authenticated:
+        # Main application content
+        st.title("PWC Home Assigment #1, Graphrag")
+
+        css = load_css()
+        st.markdown(f"<style>{css}</style>", unsafe_allow_html=True)
+
+        # Sidebar configuration
+        with st.sidebar:
+            # Display logos side by side at the top of the sidebar
+            col1, col2 = st.columns(2)            
+            with col1:
+                st.markdown(
+                    '<div class="logo-container"><img class="logo-image" src="https://nexttech.pwc.co.il/wp-content/uploads/2023/12/image-2.png"></div>',
+                    unsafe_allow_html=True,
+                )
+            with col2:
+                st.markdown(
+                    '<div class="logo-container"><img class="logo-image" src="https://nexttech.pwc.co.il/wp-content/uploads/2023/12/Frame.png"></div>',
+                    unsafe_allow_html=True,
+                )
+
+            st.header("Configuration")
+            st.session_state.community_level = st.number_input(
+                "Community Level",
+                min_value=0,
+                max_value=10,
+                value=st.session_state.community_level,
+                help="Controls the granularity of the search...",
+            )
+
+            # Only show response type for global and local search
+            if st.session_state.search_type != "drift":
+                st.session_state.response_type = st.selectbox(
+                    "Response Type",
+                    options=["concise", "detailed"],
+                    index=0 if st.session_state.response_type == "concise" else 1,
+                    help="Style of response generation",
+                )
+
+            st.session_state.search_type = st.selectbox(
+                "Search Type",
+                options=["global", "local", "drift"],
+                index=(
+                    0
+                    if st.session_state.search_type == "global"
+                    else 1 if st.session_state.search_type == "local" else 2
+                ),
+                help="""Search Types:
+                - Local Search: "Focuses on finding specific information by searching through direct connections in the knowledge graph. Best for precise, fact-based queries."
+                - Global Search: "Analyzes the entire document collection at a high level using community summaries. Best for understanding broad themes and general policies."
+                - DRIFT Search: "Combines local and global search capabilities, dynamically exploring connections while gathering detailed information. Best for complex queries requiring both specific details and broader context."
+                """,
+            )
+
+            # Show streaming option only for supported search types
+            if st.session_state.search_type != "drift":
+                st.session_state.streaming = st.checkbox(
+                    "Enable Streaming",
+                    value=st.session_state.streaming,
+                    help="Stream response tokens as they're generated",
+                )
+            else:
+                st.session_state.streaming = False
+                st.info("Streaming is not available for DRIFT search")
+
+            # logout button
+            if st.button("Logout"):
+                st.session_state.clear()  # Clear all session state data
+                initialize_session_state()  # Reinitialize the session state
+                st.query_params = {"restart": "true"}  # Refresh the UI
+                st.rerun()
+
+        # Create tabs
+        tab1, tab2 = st.tabs(["Assignment Documentation", "Chat"])
+
+        # readme tab content
+        with tab1:            
+            render_wiki_tab()
+
+        # Chat tab content
+        with tab2:
+            render_chat_tab()
+
+        st.sidebar.markdown(
+            """
+            <div style="position: absolute; bottom: 0; width: 100%; text-align: center; font-size: 14px; margin-bottom: -200px;">
+                Liran Baba | 
+                <a href="https://linkedin.com/in/liranba" target="_blank">LinkedIn</a> | 
+                <a href="https://huggingface.co/CordwainerSmith" target="_blank">HuggingFace</a>
+            </div>
+            """,
+            unsafe_allow_html=True,
+        )
+
+
+if __name__ == "__main__":
+    main()

auth.py

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+import os
+import streamlit as st
+
+
+def check_credentials():
+    """Handles login form and returns True if authenticated successfully."""
+
+    # Check if already authenticated
+    if st.session_state.get("authenticated", False):
+        return True  # User is already authenticated
+
+    # Retrieve credentials from environment variables (set via Hugging Face Secrets)
+    expected_username = os.environ.get("APP_USERNAME")
+    expected_password = os.environ.get("APP_PASSWORD")
+
+    if not expected_username or not expected_password:
+        st.error("Server is misconfigured: missing credentials.")
+        return False
+
+    # Show the login form only if not authenticated
+    with st.form("login_form", clear_on_submit=True):
+        st.text_input("Username", key="username")
+        st.text_input("Password", type="password", key="password")
+        submit_button = st.form_submit_button("Login")
+
+        if submit_button:
+            # Validate credentials
+            if (
+                st.session_state["username"] == expected_username
+                and st.session_state["password"] == expected_password
+            ):
+                st.session_state["authenticated"] = True  # Mark user as authenticated
+                return True
+            else:
+                st.error("😕 Incorrect username or password")
+                return False  # Indicate failed authentication
+
+    # Return False if login not attempted or failed
+    return False

cache/claim_extraction/chat-08673b5b83e6ac7f6ba4829e90c03327

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+{"result": "**Output:**\n\n**NONE**\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: Traveling with pets\nHeading out on a long vacation? Planning to move abroad with the entire family? We consolidated all of the important information so that you and your pet can enjoy a pleasant and quiet flight experience.\n\nFirst and foremost\nThe Ministry of Agriculture is the authority in Israel that oversees the transport of pets to and from Israel, including service dogs. If you intend to transport an animal, you must obtain authorization from the Ministry of Agriculture’s Veterinary Services. Ways to contact the Ministry of Agriculture.\n\nPlease consider that the authorization process may take several months and involves performing several animal tests.\n\nPlease note, some dogs and cats may develop sensitivity and/or breathing problems during the flight, which may adversely affect their health and in some cases even result in death. EL AL will not be liable in case of death and/or any other medical event to a dog/cat during the flight.\n\n* Snub-nosed (brachycephalic) dog and cat breeds are not approved to be transported as baggage in the luggage compartment or as cargo accompanied by a waybill.\n* Dangerous dogs, as defined in the Israeli Law for the Regulation of Dog Supervision, are not approved for transportation.\n* EL AL reserves the right to refuse to transport an animal at any stage in accordance with the provisions of any law.\n\nThere are a number of ways to transport animals:\nAs personal baggage in the aircraft cabin – Only the following pets: dogs, cats and exotic birds can be transported in the cabin with their owners, giving that their weight, including the cage, does not exceed 9kg. Service dogs are exempt from this weight limit. In this case, you should arrive at the check-in counter with the pet.\nAs checked baggage – In certain instances (e.g. large animals), animals must be transported as checked baggage. In this case, you must send off the animal at the check-in counter; upon landing, you will retrieve your animal in the Arrivals Hall.\nAs registered cargo – There are instances in which an animal may be transported by the Cargo Division (e.g., an extra-large animal or an animal flying unaccompanied). In this case, all transport arrangements will be made via the El Al Cargo Division. The animal will be dropped off at the cargo terminal. Please contact the EL AL Cargo Store.\n\n\n\nTransporting a pet from Israel abroad\nIf you intend to transport an animal from Israel, whether you’re traveling with it or it is flying alone, you are required to obtain the appropriate permits,\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-1381d6c5b2f248a032076ea11b774073

@@ -0,0 +1 @@
+{"result": "**Output:**\n\n**NONE**\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  bags, maximum 16 kg for one bag, with a combined weight not exceeding 20 kg.\nPlease note:\nIf no free space is available, carry-on bags will be checked to the plane's belly at no charge. We recommend removing medications, passports, valuables, and electronic devices from carry-on bags for easy access during the flight.\n\n\nPersonal bag\nPassengers may bring one personal bag on board, regardless of card type or travel class.\nWhat qualifies as a personal bag? Backpacks, laptop bags, makeup bags, strollers approved for plane boarding, duty-free items purchased at the airport or during the flight (for storage under the seat), and more.\nAirplane storage\nWhere can you store your carry-on and personal bags on the plane?\n\n\nOverhead storage\nCarry-on bags must be stored in overhead compartments above your seat.\nSuitcases should be placed with the front facing outward, wheels facing inward, and handle inserted.\n\nUnder-seat storage:\nPersonal bags must be placed under the seat in front of you.\nPassengers seated in emergency exit rows may also store bags and personal items in overhead compartments.\n\nImportant information:\nThe maximum carry-on bag size on El Al flights is up to 56 cm (length), 45 cm (width), and 25 cm (depth), not exceeding a total dimension of 115 cm. These measurements include wheels, handles, and side pockets.\nPersonal bag dimensions should not exceed 18x38x30 cm.\nPassengers requiring additional space for oversized items (e.g., cellos) must purchase an extra seat.\nUnusual items may only be carried in the cabin with prior coordination and approval from El Al's service center.\nDuty-free products purchased at the airport count towards the baggage allowance.\nExceeding eligibility may incur fees.\nEach carry-on bag must meet weight and dimension limits. The maximum dimensions include pockets, wheels, and handles.\nUnsure if you meet the requirements? Use the meters available at check-in counters and boarding gates.\nEnforcement of weight and dimension restrictions is carried out by El Al representatives. Items not meeting requirements will be checked to the plane's belly.\nTraveling with only carry-on luggage or a small bag?\nPassengers with pre-checked carry-on luggage can proceed to designated security check areas. Those who haven't checked in online should use El Al's check-in counters. Ensure all necessary documents are available according to your flight destination.\n\nReturning to Israel from abroad?\nAll passengers must check in at the counters,\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-142cd9efad381302bc564df05160728b

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+{"result": "(EL AL<|>NONE<|>BAGGAGE POLICY<|>TRUE<|>NONE<|>NONE<|>The baggage allowance is determined by the ticket type appearing on the reservation and/or flight ticket, with a maximum size permitted per piece of checked baggage being 158 cm.<|>Baggage allowance is determined by the ticket type appearing on the reservation and/or flight ticket. The maximum size permitted per piece of checked baggage (whether it is a suitcase or any other type of baggage) is 158 cm.)\n##\n(EL AL<|>NONE<|>BAGGAGE POLICY<|>TRUE<|>NONE<|>NONE<|>Passengers may travel with a maximum of five pieces of checked baggage, and six or more pieces must be handled in advance by the EL AL Cargo Division.<|>Passengers may travel with a maximum of five pieces of checked baggage. Six or more pieces of checked baggage must be handled in advance by the EL AL Cargo Division.)\n##\n(EL AL<|>NONE<|>BAGGAGE POLICY<|>TRUE<|>NONE<|>NONE<|>The maximum size permitted for an infant’s checked baggage is also 158 cm, excluding Lite tickets which have no baggage allowance at all.<|>The maximum size permitted for an infant’s checked baggage (length + width + depth) is 158 cm (excluding Lite tickets, which have no baggage allowance at all).)\n##\n(EL AL<|>NONE<|>BAGGAGE POLICY<|>TRUE<|>NONE<|>NONE<|>EL AL reserves the right to change the excess baggage rates from time to time.<|>EL AL reserves the right to change the excess baggage rates from time to time.)\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  AL operates the most significant flight segment of the itinerary; in other words when it is the MSC (Most Significant Carrier).\nBaggage allowance is determined by the ticket type appearing on the reservation and/or flight ticket.\nThe size of the baggage in the next clause refers to the sum of the length + width + depth.\nThe maximum size permitted per piece of checked baggage (whether it is a suitcase or any other type of baggage) is 158 cm.\nBaggage fees may vary from time to time, from destination to destination, and from flight to flight, all at EL AL’s sole discretion. The prevailing rate is the rate on the date of payment for the service.\nThe maximum size permitted for an infant’s checked baggage (length + width + depth) is 158 cm (excluding Lite tickets, which have no baggage allowance at all).\nSome countries use the British measurement system of pounds for weight and inches for length. 1 kg is equivalent to 2.20 lbs. 1 cm is equivalent to 0.4”.\nPassengers may travel with a maximum of five pieces of checked baggage. Six or more pieces of checked baggage must be handled in advance by the EL AL Cargo Division. Please call the EL AL Cargo Division Telephone Service Center at +972-3-9771177.\nFlying with a baby (up to the age of two)? You are entitled to bring a fully collapsible stroller, infant carrier seat, or infant car seat with you. For more information.\nIf you are traveling with a small child (aged 2-12), you are entitled to check a stroller or child safety seat at no additional charge.\nPrices are displayed in US dollars. At some airports, payment is only allowed in local currency, according to the conversion rate on the date of payment.\nFor those flying from India: A government service tax will be collected for air travel for flights with the first point of departure originated in India.\nEL AL reserves the right to change the excess baggage rates from time to time.\nThe aforementioned information applies to EL AL flights on EL AL aircraft and does not apply to codeshare fights or flights on foreign airlines, including connecting flights.\nThe luggage policy of a flight may vary when the scheduled aircraft has changed and\\or on flights operated by other airlines.\nSubject to the provisions of the law, in the event of cancellation/change of the additional services after purchase, no refund will be given, and the passenger will be charged in full for ordering such services.\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-156ece2906e90a6f91c08007dd5e899e

@@ -0,0 +1 @@
+{"result": "**##**  \n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  stay updated and comply with the conditions and guidelines of the destination country. EL AL will not bear any responsibility if the destination country refuses to admit the passenger's equipment.\nPlease note that in accordance with transport conditions, EL AL does not bear responsibility for fragile or valuable items. If your sporting equipment is fragile and/or valuable, we recommend purchasing special travel insurance for it. \nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-1941936183c20b799ff5009333cef448

@@ -0,0 +1 @@
+{"result": "**Output:**\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: Information on batteries and dangerous substances\nWhether its batteries, a laptop, or even medical equipment, before boarding a flight it is important to know that there are certain articles and substances that are classified as dangerous, so taking them on your flight may require advance preparation or you may not even be able to take them with you at all.\n\nSubstances and articles forbidden on the aircraft:\n Compressed gases (deeply refrigerated, flammable, non-flammable and poisonous) such as   butane and oxygen, aqualung cylinders, and compressed gas cylinders.\n Corrosives, such as acids, alkalis, wet cell batteries, and items containing mercury.\n Explosives other than light ammunition.\n Flammable liquids and solids.\n Radioactive materials.\n Briefcases with installed alarm devices.\n Oxidizing materials (hydrogen peroxide, bleaching powders, etc.).\n Poisons and infectious substances, such as insecticides, herbicides, and live virus materials.\n Items such as high-strength magnetic materials, materials that can harm people or the environment.\n\n\n\nFrequently asked questions about batteries:\nWhat kinds of batteries may be taken aboard in carry-on baggage (in the aircraft cabin)?\nMost types of batteries that are commonly used by consumers may be taken on board, as well as battery-powered electronic devices for personal use.\nSpare batteries should be protected from damage and short circuit. Battery-powered devices must be protected from accidental operation and heat generation.\n\nBatteries allowed aboard the aircraft in carry-on baggage:\nDry cell alkaline batteries; typical batteries such as AA, AAA, C, D, 9-volt batteries, button batteries, etc.\nDry cell rechargeable batteries such as nickel-metal hydride (NiMH) and nickel-cadmium batteries (NiCad).\nLithium-ion batteries (a.k.a.: rechargeable lithium, lithium polymer, LIPO, or secondary lithium batteries). All types of consumer-grade lithium-ion batteries may be carried aboard the aircraft (up to 100 watt-hours [Wh] per battery). This battery size includes AA and AAA batteries, as well as batteries in cellphones, PDAs, cameras, camcorders, electronic games, tablets, portable drills, and laptops. The watt-hours (Wh) rating is marked on newer lithium-ion batteries and is explained in question 3 below. Portable chargers are also considered batteries.\nTwo larger lithium-ion batteries (100-160 watt-hours per battery) may also be taken aboard the aircraft in your carry-on.\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-1bf64ec638ce971c0042fcb59c6197d7

@@ -0,0 +1 @@
+{"result": "The provided text does not contain any specific named entities that match the entity specification of 'organization', 'person', 'geo', or 'event'. Additionally, there are no claims related to baggage measurements, weight limits, or restrictions that can be extracted from the text. \n\nTherefore, the output will be empty.\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: Was your baggage delayed or damaged?\nSometimes, for unexpected reasons, there are cases in which baggage is delayed, damaged, or lost. We apologize in advance for any inconvenience and will do our best to find a quick solution to your satisfaction.\nBaggage Service Center handles cases of:\nDelayed baggage\nDamaged baggage\nAn item forgotten on board\nStatus of a claims that were sent to the Baggage Claims Department\nWays to contact about baggage issues after a flight\n \n\nPhone: 03-9771150 \nSunday to Thursday: 8:30 a.m. - 5 p.m.\nFriday: 8:30 a.m. - 1 p.m.\nSaturday Night: 7 p.m. - 12 a.m.\n\nWhatsApp chat 03-9771111:\nSunday to Thursday: 4 p.m. - 12 a.m.\nFriday: 1 p.m. - 4 p.m.\nSaturday Night: 7 p.m. - 12 a.m.\n\nRegarding delayed baggage, once your baggage is retrieved, it will be transferred to the courier service and delivered to the address stated on the report.\nIs your baggage delayed or lost?\nDelayed bags must be reported immediately after landing to an EL AL representative in the airport baggage claim area. They will issue you a report on the delayed bag, according to company policy.\nIf you didn’t report about the delayed bag at the airport, you can contact the baggage service center within 7 days from the date of your flight. See contact details above.                                                   \nThe status of the claim can be checked in a worldwide system (in English). Enter the lost baggage report number (10 characters) in the first box, the last name in the second box, and click the \"Submit\" button. Checking the status of a claim\nWas your baggage damaged?\n \n\nIf you noticed any damage to your baggage, you must report the damage immediately to an EL AL representative at the airport in the baggage claim area. A damage report will be issued, in accordance with company policy.\n\nAfter receiving the damage report, you may go to one of the stores listed below, within 60 days for further handling. Please bring with you the damage report, the baggage that was damaged with the baggage tag. Please do not remove the baggage tag from the handle.\n\nIn the event you only noticed the damage after you have left the airport, or if any of the items inside the baggage were damaged (i.e. items that did not\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-22d85dd89c0a47594a9788ad6718524b

@@ -0,0 +1 @@
+{"result": "**##**  \n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: Was your baggage delayed or damaged?\nSometimes, for unexpected reasons, there are cases in which baggage is delayed, damaged, or lost. We apologize in advance for any inconvenience and will do our best to find a quick solution to your satisfaction.\nBaggage Service Center handles cases of:\nDelayed baggage\nDamaged baggage\nAn item forgotten on board\nStatus of a claims that were sent to the Baggage Claims Department\n\nWays to contact about baggage issues after a flight\nPhone: 03-9771150 \nSunday to Thursday: 8:30 a.m. - 5 p.m.\nFriday: 8:30 a.m. - 1 p.m.\nSaturday Night: 7 p.m. - 12 a.m.\n\nWhatsApp chat 03-9771111:\nSunday to Thursday: 4 p.m. - 12 a.m.\nFriday: 1 p.m. - 4 p.m.\nSaturday Night: 7 p.m. - 12 a.m.\n\nRegarding delayed baggage, once your baggage is retrieved, it will be transferred to the courier service and delivered to the address stated on the report.\nIs your baggage delayed or lost?\nDelayed bags must be reported immediately after landing to an EL AL representative in the airport baggage claim area. They will issue you a report on the delayed bag, according to company policy.\nIf you didn’t report about the delayed bag at the airport, you can contact the baggage service center within 7 days from the date of your flight. See contact details above.                                                   \nThe status of the claim can be checked in a worldwide system (in English). Enter the lost baggage report number (10 characters) in the first box, the last name in the second box, and click the \"Submit\" button. Checking the status of a claim\nWas your baggage damaged?\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-2fe4040f02a3590f8660d1fa6dba6a9d

@@ -0,0 +1 @@
+{"result": "**##**\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: Carry-on baggage\nWhether you are just taking a backpack for a short flight or you packed your entire closet, it is important for you to know what you are allowed to take with you aboard the aircraft.\n\nFirst and foremost\nIn addition to checked luggage, we allow passengers to bring personal bags and carry-on bags (trolleys) into the passenger cabin. It's crucial to consider the dimensions and weight of your bags and luggage to ensure timely departures. Eligibility to bring these items onto the plane depends on your travel class, ticket type, and Matmid Frequent Flyer Club status. You can find more details in the flight ticket terms or the booking management section of our website.\n\nCarry-on bags is stored in overhead compartments, while personal bags are stored under the seat to maximize cabin space. If overhead space is unavailable, particularly on full flights or specific aircraft, we may need to transport your carry-on luggage to the plane's belly at no extra cost, even if it complies with size and weight restrictions. In such cases, you'll be asked to check your carry-on at the check-in counters or boarding gate, and it will be available for pickup at the baggage conveyor belt upon arrival.\n\nThis information applies to flights operated by EL AL and Sun Dor only. For flights operated by partner airlines, please check their respective websites for carry-on policies.\n\nEligibility, Dimensions, and Weight\nWhat are the maximum dimensions and weights for carry-ons (trolleys) and personal bags approved for boarding?\n\nCarry-on Bags – Economy Class:\nLite - entitled to one carry-on bag, maximum 8 kg.\nClassic - entitled to one carry-on bag, maximum 8 kg.\nFlex - entitled to two carry-on bags, maximum 8 kg per bag (total weight of both bags up to 12 kg).\n\n*On our non-stop flights from/to North America, currently only \"Classic\" and \"Flex\" tickets are available for purchase (For departures from November 3, 2024).\n\nCarry-on Bags - Premium and Business Classes\nPremium - entitled to two carry-on bags, maximum 8 kg per bag, with a combined weight not exceeding 12 kg.\nBusiness - entitled to two carry-on bags, maximum 16 kg for one bag, with a combined weight not exceeding 20 kg.\nPlease note:\nIf no free space is available, carry-on bags will be checked to the plane's belly at no charge. We recommend removing medications,\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-345f8e9ba01d72bb119f170108b3a010

@@ -0,0 +1 @@
+{"result": "**##**  \n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  in the area designated for the passenger's feet, so that the dog does not invade the space of other passengers.\nEL AL will be entitled to refuse to transport the dog and/or decide to transport it in the hold if any of the following occurs:\nThe dog constitutes a direct threat.\nThe dog causes a disturbance in the aircraft or its behavior indicates that it has not been trained to behave in public.\nTransporting the dog violates safety and security regulations.\nThe passenger does not provide the necessary forms as required and/or did not meet all of the cumulative conditions mentioned above.\nTo the extent that damage is caused by the dog, EL AL will be entitled to charge the passenger for the full damage.\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-35a8144ac0548c336670f7655b57ffa8

@@ -0,0 +1 @@
+{"result": "(EL AL<|>NONE<|>BAGGAGE MEASUREMENTS AND WEIGHT LIMITS<|>TRUE<|>NONE<|>NONE<|>Transport costs for animals weighing up to 9 kg with their cage are $100 for Europe and Middle East and $150 for North America and Far East. Animals weighing between 9 and 50 kg with their cage cost $200 for Europe and Middle East and $250 for North America and Far East. Animals weighing between 50 and 100 kg with their cage cost $400 for Europe and Middle East and $450 for North America and Far East. Animals weighing more than 100 kg with their cage cannot be transported as baggage and will be handled by the Cargo Division.<|>Transport costs as baggage: Europe and Middle East Animals weighing up to 9 kg with their cage $100 $150 Animals weighing between 9 and 50 kg with their cage $200 $250 Animals weighing between 50 and 100 kg with their cage $400 $450 Animals weighing more than 100 kg with their cage cannot be transported as baggage and will be handled by the Cargo Division.)\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  that the animal will be transported with a bill of lading (cargo), please follow the guidelines for transporting pets as cargo. If the permit states that the animal will be transported as baggage, update the EL AL Service Center or the travel agent through which you made the booking.\nMake sure to bring with you all of the documents and authorizations; you will be asked to present them at check-in. Without this authorization, a pet will not be accepted on the flight and EL AL may not be held responsible for this.\nAdditional requirements for obtaining authorization to transport a pet as cargo with a bill of lading\nIn cases where the Veterinary Services Department determines that the animal may be transported with a bill of lading (usually when the pet weighs more than 9 kg), this service will be offered through the Cargo Division. Email the following address: [email protected]​ and attach the following documents in a single PDF file:\n\nAuthorization from the Veterinary Services Department.\nExport license.\nBill of lading.\nCertificate of good health.\nLaboratory results for rabies antibodies.\nName of customs brokerage company (if necessary).\nBring the Veterinary Service authorization with you to the airport and present it at the check-in counter.\n\nWhere do you pick up animals after landing in Israel?\nWhen the animal is transported as baggage, it will be released in the Ben Gurion Airport Arrivals Hall.\nWhen the animal is transported as cargo, it will be released in the Ben Gurion Airport cargo terminal.\nFor questions and clarifications please contact our Cargo Division: (import tracing):\[email protected]\[email protected]\nTelephone: +972-3-9716589/592\nThe costs of transporting animals\nTransport costs as baggage:\n \t​Europe and Middle East\tNorth America and Far East\nAnimals weighing up to 9 kg with their cage\t$100\t $150\nAnimals weighing between 9 and 50 kg with their cage\t$200\t$250\nAnimals weighing between 50 and 100 kg with their cage\t$400\t$450\nAnimals weighing more than 100 kg with their cage cannot be transported as baggage and will be handled by the Cargo Division.\n\nTransport costs as cargo:\nTransport costs depend on a number of factors. To clarify costs, please contact the Cargo Division at:\n+972-3-9716679\n\nCosts – What you need to know:\nThe cost\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-44979de7f1a825ae1b20a96afbbba767

@@ -0,0 +1 @@
+{"result": "**##**  \n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  bags, maximum 16 kg for one bag, with a combined weight not exceeding 20 kg.\nPlease note:\nIf no free space is available, carry-on bags will be checked to the plane's belly at no charge. We recommend removing medications, passports, valuables, and electronic devices from carry-on bags for easy access during the flight.\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-4d06725e2c887ea258a9e0ee6d0b5157

@@ -0,0 +1 @@
+{"result": "**##**  \n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: Information on batteries and dangerous substances\nWhether its batteries, a laptop, or even medical equipment, before boarding a flight it is important to know that there are certain articles and substances that are classified as dangerous, so taking them on your flight may require advance preparation or you may not even be able to take them with you at all.\n\nSubstances and articles forbidden on the aircraft:\n Compressed gases (deeply refrigerated, flammable, non-flammable and poisonous) such as   butane and oxygen, aqualung cylinders, and compressed gas cylinders.\n Corrosives, such as acids, alkalis, wet cell batteries, and items containing mercury.\n Explosives other than light ammunition.\n Flammable liquids and solids.\n Radioactive materials.\n Briefcases with installed alarm devices.\n Oxidizing materials (hydrogen peroxide, bleaching powders, etc.).\n Poisons and infectious substances, such as insecticides, herbicides, and live virus materials.\n Items such as high-strength magnetic materials, materials that can harm people or the environment.\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-5a72713b5837690b186c07adadb8e733

@@ -0,0 +1 @@
+{"result": "**##**  \n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: Liquids in Carry-On Bags\nWhether you just splurged on a bottle of fine whiskey or you are traveling with gels, cosmetics, baby food, or even prescription medications, prior to boarding a flight it is important to know exactly what you are allowed to take on board and what you must check.\n\nLiquids in Carry-On Bags\nPrior to taking off, it is important to know what you can take with you aboard the aircraft. Today, at most airports around the world, there is a limit on the amount and type of liquids that passengers may carry in their carry-on bags when boarding a flight. Liquids, aerosols, gels, creams, etc. that exceed the permitted amount will be discarded at the security checkpoint if they do not meet the updated guidelines.\n\nFor your convenience, we have compiled some non-exhaustive general information for you about carrying liquids in carry-on bags on flights departing from Israel. Please note that it is your responsibility to stay up to date on the specific conditions that may apply to flights to or from certain countries-including connecting and codeshare flights—with respect to carrying liquids in handbags, as these may change from time to time.\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-62fd36848d52dcc1ed434c906d244cbd

@@ -0,0 +1 @@
+{"result": "## \n(EL AL<|>NONE<|>BAGGAGE MEASUREMENTS AND WEIGHT LIMITS<|>TRUE<|>NONE<|>NONE<|>EL AL reserves the right to refuse to transport an animal at any stage in accordance with the provisions of any law.<|>EL AL will not be liable in case of death and/or any other medical event to a dog/cat during the flight.)\n##\n(EL AL<|>NONE<|>BAGGAGE MEASUREMENTS AND WEIGHT LIMITS<|>TRUE<|>NONE<|>NONE<|>Only the following pets: dogs, cats and exotic birds can be transported in the cabin with their owners, giving that their weight, including the cage, does not exceed 9kg.<|>As personal baggage in the aircraft cabin – Only the following pets: dogs, cats and exotic birds can be transported in the cabin with their owners, giving that their weight, including the cage, does not exceed 9kg.)\n##\n(EL AL<|>NONE<|>BAGGAGE MEASUREMENTS AND WEIGHT LIMITS<|>TRUE<|>NONE<|>NONE<|>In certain instances (e.g. large animals), animals must be transported as checked baggage.<|>As checked baggage – In certain instances (e.g. large animals), animals must be transported as checked baggage.)\n##\n(EL AL<|>NONE<|>BAGGAGE MEASUREMENTS AND WEIGHT LIMITS<|>TRUE<|>NONE<|>NONE<|>There are instances in which an animal may be transported by the Cargo Division (e.g., an extra-large animal or an animal flying unaccompanied).<|>As registered cargo – There are instances in which an animal may be transported by the Cargo Division (e.g., an extra-large animal or an animal flying unaccompanied).)\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: Traveling with pets\nHeading out on a long vacation? Planning to move abroad with the entire family? We consolidated all of the important information so that you and your pet can enjoy a pleasant and quiet flight experience.\n\nFirst and foremost\nThe Ministry of Agriculture is the authority in Israel that oversees the transport of pets to and from Israel, including service dogs. If you intend to transport an animal, you must obtain authorization from the Ministry of Agriculture’s Veterinary Services. Ways to contact the Ministry of Agriculture.\n\nPlease consider that the authorization process may take several months and involves performing several animal tests.\n\nPlease note, some dogs and cats may develop sensitivity and/or breathing problems during the flight, which may adversely affect their health and in some cases even result in death. EL AL will not be liable in case of death and/or any other medical event to a dog/cat during the flight.\n\n* Snub-nosed (brachycephalic) dog and cat breeds are not approved to be transported as baggage in the luggage compartment or as cargo accompanied by a waybill.\n* Dangerous dogs, as defined in the Israeli Law for the Regulation of Dog Supervision, are not approved for transportation.\n* EL AL reserves the right to refuse to transport an animal at any stage in accordance with the provisions of any law.\n\nThere are a number of ways to transport animals:\nAs personal baggage in the aircraft cabin – Only the following pets: dogs, cats and exotic birds can be transported in the cabin with their owners, giving that their weight, including the cage, does not exceed 9kg. Service dogs are exempt from this weight limit. In this case, you should arrive at the check-in counter with the pet.\nAs checked baggage – In certain instances (e.g. large animals), animals must be transported as checked baggage. In this case, you must send off the animal at the check-in counter; upon landing, you will retrieve your animal in the Arrivals Hall.\nAs registered cargo – There are instances in which an animal may be transported by the Cargo Division (e.g., an extra-large animal or an animal flying unaccompanied). In this case, all transport arrangements will be made via the El Al Cargo Division. The animal will be dropped off at the cargo terminal. Please contact the EL AL Cargo Store.\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-6766e1761cdf81b5e0e3a2bc92c8a787

@@ -0,0 +1 @@
+{"result": "There are no entities that match the specified entity types (organization, person, geo, event) in the provided text. Additionally, there are no claims related to baggage measurements, weight limits, and restrictions from airline documentation that can be extracted.\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  obtain the appropriate permits in advance. The Ministry of Health is the body that has the authority to approve the entry of animals into Israel. It will also determine how the animal will be transported, be it in the passenger aircraft cabin, as baggage in the aircraft hold, or as registered cargo.\n\nThe main factor that influences the mode of transport is the animal’s weight:\n\nAnimals (Dogs, cats or exotic birds only) weighing up to 9 kg with their cage – They can usually be transported in the aircraft cabin.\nTransporting an animal (up to 9 kg) in the Business cabin is subject to the approval of the EL AL service center and the availability in Business cabin. The number of pets allowed in this cabin is limited and we recommend contacting the EL AL service center as early as possible to make the reservation.\nAnimals weighing between 9 kg and 100 kg with their cage – They can usually be transported in the aircraft hold.\nAnimals weighing more than 100 kg with their cage – They can usually be transported as registered cargo in the aircraft hold.\nIt is important to note that there are additional factors that may affect the animal’s mode of transport.\n\n \n\nPlease note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome. \n\nHow to obtain authorization to transport an animal to Israel:\nContact the local authorities to obtain the required documents.\nAfter receiving the required documents and no later than two business days prior to the flight, email Veterinary Services at Ben Gurion Airport at [email protected] and include the following documents in a PDF file: certificate of good health, rabies antibody test, Appendices B and C (the last page of the file below). If you have met all of the conditions, the Veterinary Services flight permit will be sent to you by email.\nDid you send the documents to Veterinary Services and you did not receive a response within four hours?\nPlease call: +972-3-9792240\nUpdate us upon receiving the Veterinary Services permit. If the permit states that the animal will be transported with a bill of lading (cargo), please follow the guidelines for transporting pets as cargo. If the permit states that the animal will be transported as baggage, update the EL AL Service Center or the travel agent through which\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-691bb55bff9159afc00136c9e313e7f4

@@ -0,0 +1 @@
+{"result": "Based on the provided text, entity specification, and claim description, the analysis yields the following claims:\n\n1. No specific organizations, persons, geographical entities, or events were identified in the text that match the entity specification.\n2. The text primarily discusses regulations regarding lithium batteries and does not provide any claims related to organizations, persons, or events.\n\nAs a result, there are no claims to extract from the provided text.\n\nOutput: \n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  is marked on newer lithium-ion batteries and is explained in question 3 below. Portable chargers are also considered batteries.\nTwo larger lithium-ion batteries (100-160 watt-hours per battery) may also be taken aboard the aircraft in your carry-on. The battery size includes extended-life laptop batteries and most lithium-ion batteries for professional-grade audio/visual equipment. Most consumer-grade lithium-ion batteries are smaller. Engineering approval is required in order to travel with these larger batteries.\nLithium metal batteries (a.k.a. non-rechargeable lithium batteries or primary lithium batteries). These batteries are often used in cameras and small personal electronic devices. Consumer-grade batteries (up to 2 grams of lithium per battery) may be brought aboard the aircraft. This includes all the typical non-rechargeable batteries used in cameras (AA, AAA, 123, CR123A, CR1, CR2, CRV3, CR22, 2CR5, etc.), as well as flat, round lithium button batteries.\nNon-spillable wet batteries with absorbed electrolyte are limited to 12 volts and 100 watt-hours per battery. These batteries must be of the absorbed electrolyte type (gel cells, AGM, etc.) that meet the requirements of 49 CFR; i.e. no electrolyte will leak from a cracked battery case. Batteries must be in strong outer packaging or installed in equipment. Additionally, passengers are restricted to two spare (uninstalled) batteries. Spare batteries’ terminals must be protected (using non-conductive caps, tape, etc.) within the outer packaging. Batteries and outer packaging must be marked “nonspillable” or “nonspillable battery.” Note: The above applies to portable electronic devices, not battery-powered mobility aids. There are separate exceptions for motorized wheelchairs.\n \n\nWhat kinds of batteries are allowed in checked baggage?\nYou may not check lithium batteries except:\nElectronic devices with lithium batteries that cannot be removed from the device and cannot be stored in the aircraft cabin due to physical size will be stored in the aircraft hold under the following conditions:\n\nMake sure that the device is completely switched off and protected from accidental operation.\nThe device must be protected from external damage.\nAn electronic device may not be stored together with flammable material (e.g. hairspray, etc.)\nSpare lithium batteries (both lithium-metal and lithium-ion/polymer) are prohibited in checked baggage. This includes portable chargers.\nElectronic devices with removable lithium\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-6b44c9cbabca5ed59493c8b4efe689e1

@@ -0,0 +1 @@
+{"result": "**##**  \n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  meet the permitted size and weight dimensions for that passenger’s checked baggage allowance. If your equipment exceeds the permitted dimensions, excess baggage charges will apply, according to the regulations stipulated on this page.\nPrices are displayed in US dollars. At some airports, payment is allowed only in local currency, according to the conversion rate on the date of payment.\nTransporting snowboards and ski equipment?\nIn addition to the equipment and baggage allowance permitted for each passenger, you may also bring ski and snowboard equipment at no extra charge (doesn't apply on LITE fare ticket), as long as it's packed into one checked bag that weighs up to 50 kg and its total measurements do not exceed 277 cm (length + height + width).\n\nIf your ski equipment exceeds the permitted dimensions, you’ll need to contact El Al’s Cargo Division (Tel: +972-3-977-1177).\n\nWhat does Ski and snowboards equipment include?\nSki equipment includes one pair of skis, one pair of poles and one pair of ski boots.\nSnowboard equipment includes one snowboard and one pair of ski boots.\nTransporting bicycles?\nYou can transport a bicycle at no extra charge instead of your regular checked baggage, as long as the bicycle is packed into a checked bag and meets the weight and/or size dimensions of your permitted baggage allowance (determined by the cabin class you’re flying in).\n\nPlease note\nMotorized bicycles cannot be transported! For exceptional cases, please contact our Cargo Division. Transport of bicycles is subject to El Al approval and depends on available space in the cargo hold.\n\nTransport of bicycles also requires pre-approval from the EL AL call center. You will be charged only after you arrive at the airport, providing your bicycle is packed according to the following regulations:\n\nRemove the pedals.\nDismantle the handlebar.\nLet out some air from the wheels and separate one wheel from the rest of the bicycle.\nMake sure to pack the bicycle in a box/special case, to protect it from damage and to prevent leakage of hydraulic fluid.\nPlease note\nThe information here applies to EL AL flights on EL AL aircrafts only. It does not apply to continuing flights or flights with other airlines.\nIt is the passenger's responsibility to stay updated and comply with the conditions and guidelines of the destination country. EL AL will not bear any responsibility if the destination country refuses to admit the passenger's equipment.\nPlease note that in accordance with transport conditions, EL AL does not bear responsibility for fragile\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-6c010518e325d3cc30cafb4464c6df4e

@@ -0,0 +1 @@
+{"result": "## \n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: \nShlomo Ha-Melekh 37\nTel: 0768100223\n\nARTY Rimon\nService Pickup and delivery service\nTel: 1700504544\nWhatsApp: 0532310738\n\n\nAirport City:\nCargo Tikim ve Mizvadot\nLog In Log Out – Importer of Luggage and Bags\nGilboa 1\nICL Building\nTel: 054-2520061\n\n\nRishon Le Zion\nRimon Mizvadot ve Tikim\nSaharov 19\nTel: 1700504544\nWhatsApp: 053-2310738\n\n\nYehud\nMoka – Pickup and delivery point\nARTY Rimon Import marketing and distribution ltd.\nMoshe Dayan 3\nTel: 03-6726585\n\n\nRehovot\nARTY Rimon\nService Pickup and delivery service\nTel: 1700504544\nWhatsApp: 053-2310738\n\n\nNes Ziona\nMakor Haziud Baggage and Outdoor Equipment\n\nRothschild 4\n\nTel: 03-6822330\n\n\nShoham\nARTY Rimon\nService Pickup and delivery service\nTel: 1700504544\nWhatsApp: 053-2310738\n\n\nRamle and Lod:\nARTY Rimon\n\nService Pickup and delivery service\n\nTel: 1700504544\n\nWhatsApp: 053-2310738\n\n\nDamage to wheelchairs, equipment for passengers who require assistance, or baby strollers\nGalgal Yaziv\nDamage to powered mobility scooters , electric power wheelchairs and more\nAdom street 23 – Industrial park Kannot – close to Gedera\n\nOrthopedica Steiner\nHasar Shapira 4\nRishon Le Zion\nTel: 03-9517674\n\n \n\nBaby equipment:\nHagalgal – The Israeli Center for Baby and children equipment and goods.\nTel: 054-5947464\nPick up and delivery from all areas.\n\nBugaboo baby carriages and strollers\nMaskit 14, Herzliya\n03-5407999\n\n\nImportant to know\nIn the event your baggage was damaged or you are missing items from your suitcase, you must contact us within 7 days from the day you received your baggage.\nIn the event of a delay in receiving your baggage outside your country of residence, you must contact us within 21\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-6c3cb54eb649f13a3a79c2f069908c1b

@@ -0,0 +1 @@
+{"result": "**##**\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: Flying with sporting equipment?\nAre you planning the perfect ski vacation? Maybe heading out for a wild bike trip? Wherever you're going, there are a few things you need to know before you start packing. So now that we’ve gotten warmed up, here’s some important information about flying with sporting equipment.\n\nImportant to know\nWe offer complimentary transport of sports equipment in place of your standard checked baggage, under the following conditions:\n- Economy Class (excluding Lite fares) and Premium Class: Sports equipment with dimensions up to 190 cm (length + width + height) and weighing up to 30 kg.\n- Business Class: Sports equipment with dimensions up to 190 cm (length + width + height) and weighing up to 32 kg.\nNote: For those flying with skiing or snowboarding equipment, please see the additional benefits below.\n\nIf your equipment weighs up to 32 kg and its total measurements (length + height + width) are under 277 cm, it can be sent as overweight baggage, but you’ll need to contact the El Al call center for approval.\n\nIf your equipment exceeds the permitted dimensions, or you prefer to send your equipment separately from your permitted baggage allowance, you can transport the equipment as cargo via the EL AL Cargo Division (Tel. +972-3-977-1177 or according to the details listed on the website).\nAdditional Sports Equipment\nIf you need to bring sports equipment in addition to your standard baggage allowance, the following applies:\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-7b7ea98d33a52840fed33448d8fd3dc0

@@ -0,0 +1 @@
+{"result": "There are no entities that match the specified entity types (organization, person, geo, event) in the provided text. Additionally, there are no claims related to baggage measurements, weight limits, and restrictions that can be extracted from the text. \n\nTherefore, the output is empty.\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: How many checked bags can you bring?\nFlying with just one piece of checked baggage or do you need to check three? Whatever the circumstances, it is important to know how many pieces of baggage you can take and which types are allowed.\n\nFirst and foremost\nThe checked baggage allowance depends primarily on your travel class and destination country. You can find the number and weight of the checked bags included in your ticket on the flight ticket and on the Manage Your Booking page on the website.\nYou can easily add additional pieces of baggage up to three hours before the flight through the Manage Your Booking page.\nThe baggage policy on scheduled Sundor flights is the same as El Al's baggage policy.\n\nOversized And Overweight Baggage\nWhat is oversized and overweight baggage?\nAny baggage that exceeds authorized dimensions in terms of shape, size, or weight. For example: oversized or overweight suitcases, backpacks, soft bags, and more.\n\nFlying with oversized and overweight baggage?\nAfter going through EL AL security pre-screening and check-in, passengers with baggage classified as oversized or overweight are required to take their baggage to the designated oversized/overweight baggage location. The process of checking in oversized and overweight baggage takes longer than standard baggage and may delay your arrival at the departure gate.\n\nTo expedite the baggage check-in process, it is recommended to travel with a standard hard or soft-sided baggage within the permitted dimensions and weight.\n\n\n\nEurope and Middle East\nFar East\nNorth America\nEconomy class\nEL AL offers three types of tickets in economy class on flights to Europe and the Middle East.\n\nThe baggage allowance and weight limit depend on the ticket type:\nThe baggage allowance varies depending on the service type: Lite, Classic, or Flex. With the Lite service, one piece of checked baggage (23 kg) requires pre-ordering, and the fee varies. Both the Classic and Flex services include one piece of checked baggage (23 kg) in the ticket price. For two to five additional pieces of checked baggage (23 kg each), pre-ordering is required for all three service types (Lite, Classic, and Flex), and the fee varies.\n\nImportant information\nThe pre-order option is available up to three hours prior to departure.\n​“The fee varies” – The price depends on a number of factors, such as the destination and date of the flight.\nWhen reserved at the airport, it costs $90 to check a piece of baggage not included in the ticket price.\nYou can pay to check baggage on\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-7f7c97af3289d13f5fb37ac849d58b26

@@ -0,0 +1 @@
+{"result": "There are no entities that match the specified entity types (organization, person, geo, event) in the provided text. Additionally, there are no claims related to baggage measurements, weight limits, or restrictions from airline documentation that can be extracted.\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  have been completed. EL AL will bear no responsibility in this regard.\nThe passenger is required to update the Service Center regarding a flight with a service dog, no later than 48 hours prior to the flight date.\nThe passenger must provide a veterinary certificate stating that the dog is vaccinated and has the ability to maintain proper sanitary conditions during the flight and transport.\nThe dog must be tied to a leash and/or harness from check-in until landing at the destination.\nIt is important to come equipped with a cage adapted to the dog and its size, in the event it is necessary.\nIt is the passenger’s full responsibility to complete all the forms and documents required to transport animals to Israel / from Israel, and to check with the destination country to determine its requirements.\nFlying to London with a service dog?\n\nIn addition to the guidelines we mentioned before, passengers traveling to London with a service dog are asked to register 14 days prior to the date of the flight on the Heathrow Airport website. You can do this by clicking on Heathrow Animal Reception Centre.\n\n \n\nFlying to or from the United States with a service dog?\n\nIn addition to all of the details included above, it is the passenger’s responsibility to fill out, print, and bring special additional forms for the United States and to present them at the check-in counters.\n\nPlease note that the regulations regarding transporting dogs to the US have changed. There are certain destinations in the US where transporting dogs will not be allowed at all. For destinations where transporting dogs are allowed, the passenger must meet all the requirements listed on the CDC website. Passengers who do not meet all the requirements, as detailed on the CDC website, will not be allowed to board the flight with their dog.\nPlease note that as of this date, the State of Israel is defined as a high-risk country on the CDC website.\n\nWe recommend using the services of companies specializing in animal air transport.\nPlease note that additional charges are incurred for inspecting and releasing of a dog from airport facilities in the United States.\n\nImportant information\n\nEL AL may require the passenger to have the dog tied to a leash and/or harness and/or barrier throughout the flight.\nEL AL may be entitled to require the passenger to seat the dog on his/her lap or in the area designated for the passenger's feet, so that the dog does not invade the space of other passengers.\nEL AL will be entitled to refuse to transport the dog and/or decide to transport it in the hold if any of the following occurs:\n\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-82ee06454e7f372dce5f103d0095b803

@@ -0,0 +1 @@
+{"result": "**Output:**\n\n**NONE**\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: How many checked bags can you bring?\nFlying with just one piece of checked baggage or do you need to check three? Whatever the circumstances, it is important to know how many pieces of baggage you can take and which types are allowed.\n\nFirst and foremost\nThe checked baggage allowance depends primarily on your travel class and destination country. You can find the number and weight of the checked bags included in your ticket on the flight ticket and on the Manage Your Booking page on the website.\nYou can easily add additional pieces of baggage up to three hours before the flight through the Manage Your Booking page.\nThe baggage policy on scheduled Sundor flights is the same as El Al's baggage policy.\n\nOversized And Overweight Baggage\nWhat is oversized and overweight baggage?\nAny baggage that exceeds authorized dimensions in terms of shape, size, or weight. For example: oversized or overweight suitcases, backpacks, soft bags, and more.\n\nFlying with oversized and overweight baggage?\nAfter going through EL AL security pre-screening and check-in, passengers with baggage classified as oversized or overweight are required to take their baggage to the designated oversized/overweight baggage location. The process of checking in oversized and overweight baggage takes longer than standard baggage and may delay your arrival at the departure gate.\n\nTo expedite the baggage check-in process, it is recommended to travel with a standard hard or soft-sided baggage within the permitted dimensions and weight.\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-97d88658ea30a33aff72f7ee37309af8

@@ -0,0 +1 @@
+{"result": "Based on the provided text, there are no specific claims related to baggage measurements, weight limits, or restrictions from airline documentation that can be extracted. The text primarily discusses guidelines for transporting pets, but does not provide explicit claims or measurements related to baggage or weight limits.\n\nTherefore, the output will be empty.\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  lading (cargo), please follow the guidelines for transporting pets as cargo. If the permit states that the animal will be transported as baggage, update the EL AL Service Center or the travel agent through which you made the booking.\nMake sure to bring with you all of the documents and authorizations; you be asked to present them at check-in. Without this authorization, a pet will not be accepted on the flight and EL AL may not be held responsible for this.\nGuidelines for Transporting Dogs to the US\nPlease note that the regulations regarding transporting dogs to the US have changed. There are certain destinations in the US where transporting dogs will not be allowed at all. For destinations where transporting dogs are allowed, the passenger must meet all the requirements listed on the CDC website. Passengers who do not meet all the requirements, as detailed on the CDC website, will not be allowed to board the flight with their dog.\nPlease note that as of this date, the State of Israel is defined as a high-risk country on the CDC website.\n\nWe recommend using the services of companies specializing in animal air transport.\nPlease note that additional charges are incurred for inspecting and releasing of a dog from airport facilities in the United States.\nAdditional requirements for obtaining authorization to transport a pet as cargo with a bill of lading\nIn cases where the destination country authorities determine that an animal may be transported with a bill of lading (usually when the animal weighs more than 9 kg), this service will be offered through the Cargo Division. Email the following address: [email protected]​ and attach the following documents in a single PDF file:\n\nTransport authorization from the destination country authorities.\nExport license.\nBill of lading.\nCertificate of good health.\nDestination, flight details, flight date, details of the sender, and details of the recipient.\nThe measurements of the transport cage.\nBring all of the required authorizations with you to the airport and present them at the check-in counter.\n\nFor questions and clarifications please contact the Cargo Division: +972-3-9716679\n\nTransporting pets to Israel\nIf you intend to transport an animal to Israel, whether you’re traveling with it or he is flying alone, you are required to obtain the appropriate permits in advance. The Ministry of Health is the body that has the authority to approve the entry of animals into Israel. It will also determine how the animal will be transported, be it in the passenger aircraft cabin, as baggage in the\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-9a8788d74d8a358e3233fc012b0b0e86

@@ -0,0 +1 @@
+{"result": "**Output:**\n\n**NONE**\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  – The price depends on a number of factors, such as the destination and date of the flight.\nWhen reserved at the airport, it costs $90 to check a piece of baggage not included in the ticket price.\nYou can pay to check baggage on the website (without handling fees), through the EL AL Service Center (additional handling fee of $5 per passenger per reservation), at the airport, or through a travel agent.\nEach piece of checked baggage can weigh up to 23 kg. For information on excess baggage and adding another piece of baggage.\nThe prices in the table are per passenger per flight segment.\n​​Do not pack valuable items in your checked baggage.\nPremium and business class\nPremium class tickets include up to two pieces of checked baggage weighing up to 23 kg each.\nBusiness class tickets include up to two pieces of checked baggage weighing up to 32 kg each.\nThere is a fee for any additional pieces of checked baggage.\nDo you have a connecting flight?\nWhen several airlines are involved in a flight route, checked baggage rules may vary from carrier to carrier or from one flight segment to the next.\nInformation on the free baggage allowance is included for each flight segment on the ticket. If no details appear, please contact the airline or travel agent for clarification.\nIt should be noted that the checked baggage and carry-on allowances that appear on your ticket are based on information provided to us by other carriers, and EL AL bears no responsibility for the accuracy of the information.\nCertain airlines impose a handling fee for each piece of baggage purchased through them, and it is important to verify this on the relevant carrier's website.\nOn code-share flights, the marketing carrier determines the baggage procedures, except in cases where there is another agreement between the operating and marketing carriers.\nWant to check an additional piece of baggage?\nPurchase online up to 3 hours before your flight, enjoy up to 50% discount on the fee charged at the airport and save the handling fee.\n\nIf you haven't checked in yet, you can add baggage via Manage my booking.\nIf you've already checked in, you can add baggage via the check-in process.\nManage my booking\nCheck-in process\nAdditional terms and conditions\nThe permitted baggage allowance as specified below is valid when EL AL operates the most significant flight segment of the itinerary; in other words when it is the MSC (Most Significant Carrier).\nBaggage allowance is determined by the ticket type appearing on the reservation and/or flight ticket.\nThe size of the baggage in the next\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-9c8443ae39d09775b32c5162c8cb708f

@@ -0,0 +1 @@
+{"result": "There are no named entities that match the specified entity types (organization, person, geo, event) in the provided text. Therefore, there are no claims to extract based on the given claim description.\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  may not be stored together with flammable material (e.g. hairspray, etc.)\nSpare lithium batteries (both lithium-metal and lithium-ion/polymer) are prohibited in checked baggage. This includes portable chargers.\nElectronic devices with removable lithium batteries: the battery should be taken aboard the aircraft cabin. The device can be checked.\nThe other types of batteries (listed above) may be transported in the aircraft hold. Batteries should be protected from damage and short circuits or installed inside a device. Battery-powered devices should be protected from accidental operation, especially those that have moving parts or might overheat.\n \n\nHow do I determine a battery's watt-hours (Wh) rating?\nTo determine watt-hours, multiply the volts (V) by the ampere hours (Ah). For example: A 12-volt battery rated to 8 ampere hours is rated at 96 watt hours (12 x 8 = 96). For milliamp hours (mAh), multiply by the volts and divide by 1000.\n\n \nIs there a limit to the number of batteries that may be taken aboard the aircraft?\nYes. Up to 20 spare batteries with a capacity of less than 100 Wh may be taken aboard the aircraft when insulated or in their original packaging, and only in the cabin.\nUp to 15 electronic devices containing lithium-ion batteries with a capacity of less than 100 Wh are allowed aboard the aircraft, and only in the cabin.\nLarger lithium-ion batteries (100-160 watt-hours per battery) are limited to two batteries per passenger; see the above explanation of lithium-ion batteries.\nUp to two spare/uninstalled non-spillable wet batteries can be taken aboard the aircraft.\n\nWhat does “protected against short circuit” mean?\nWhen metal objects such as keys, tools or other batteries come in contact with both terminals of a battery it can create a “circuit” or path for electricity to flow through. An electrical current flowing through this unprotected short circuit can cause extreme heat and sparks and even start a fire.\nTo prevent short circuits, keep spare batteries in their original packaging, a battery case, or a separate pouch or pocket. Make sure loose batteries can’t move or roll around. Placing tape over the terminals of unpackaged batteries also helps to insulate them and prevent short circuit.\n\nBattery-powered wheelchairs/mobility aids on EL AL flights\nBattery-powered mobility aids must comply with the relevant IATA regulations. For your convenience, you can view\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-a3886efba812892c6d75583a62fe871a

@@ -0,0 +1 @@
+{"result": "**Output:**\n\n**NONE**\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  cargo terminal. Please contact the EL AL Cargo Store.\n\n\n\nTransporting a pet from Israel abroad\nIf you intend to transport an animal from Israel, whether you’re traveling with it or it is flying alone, you are required to obtain the appropriate permits, in Israel and in the destination country, in advance. Passengers are responsible for contacting the authorities in the destination country and acting in accordance with their guidelines. The authorities in the destination country may determine how the animal will be transported, be it in the passenger aircraft cabin, as baggage in the aircraft hold, or as registered cargo.\n\nThe main factor that influences the mode of transport is the animal’s weight:\n\nAnimals (Dogs, cats or exotic birds only) weighing up to 9 kg with their cage – They can usually be transported in the aircraft cabin.\nTransporting an animal (up to 9 kg) in the Business cabin is subject to the approval of the EL AL service center and the availability in Business cabin. The number of pets allowed in this cabin is limited and we recommend contacting the EL AL service center as early as possible to make the reservation.\nAnimals weighing between 9 kg and 100 kg with their cage – They can usually be transported in the aircraft hold.\nAnimals weighing more than 100 kg with their cage – They can usually be transported as registered cargo in the aircraft hold.\nIt is important to note that there are additional factors that may affect the animal’s mode of transport.\n\n \n\nPlease note: It is not possible to transport animals in the aircraft cabin to the following destinations: Johannesburg, London and Hong Kong. Transport is strictly with a bill of lading (cargo).\n\nHow to obtain authorization to transport an animal from Israel abroad:\nCheck with the destination country’s authorities to determine the requirements for transporting an animal to their country.\nContact your veterinarian to have him/her perform the required tests and issue the necessary authorizations.\nAfter receiving all of the required documents, contact the Veterinary Services Department to request that they issue an international certificate of good health (this contact can usually be facilitated through your veterinarian).\nUpdate us upon receiving the flight permit, at least 2 business days prior to your flight. If the permit states that the animal will be transported with a bill of lading (cargo), please follow the guidelines for transporting pets as cargo. If the permit states that the animal will be transported as baggage, update the EL AL Service Center or the travel agent through which you made the booking.\nMake sure to bring with\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-c34a2e9173d8e3e37f45c44fefd3d474

@@ -0,0 +1 @@
+{"result": "<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  and\\or on flights operated by other airlines.\nSubject to the provisions of the law, in the event of cancellation/change of the additional services after purchase, no refund will be given, and the passenger will be charged in full for ordering such services.\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-c8035a54e48fb4c27e710fc7ef024393

@@ -0,0 +1 @@
+{"result": "**Output:**\n\n**NONE**\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  by the Cargo Division.\n\nTransport costs as cargo:\nTransport costs depend on a number of factors. To clarify costs, please contact the Cargo Division at:\n+972-3-9716679\n\nCosts – What you need to know:\nThe cost of transporting a pet is based on the total weight of the animal, the carrying case, and the food.\nThe prices are valid for animals accompanying the passenger on the same flight.\nPayment is made at the airport after the animal is weighed.\nPayment for transporting pets is made separately; it is not included in the weight of the permitted baggage allowance.\nIf the flight ticket includes any connecting flights with other airlines, payment must be arranged with the other airline.\nThe costs are not applicable to codeshare flights, operated by other airlines.\nA passenger with an open ticket must pay for the outbound and return flight, even if the return date is unknown.\nGeneral guidelines for transporting animals\nOnly the following pets: Dogs, cats or exotic birds, can be transported in the passenger cabin, depending on their size and weight and the required permits.\nAnimals exhibiting clear and visible signs of illness and/or who are emitting a foul odor may not be approved to fly.\nPets who have been approved for transport must also be authorized by the relevant authorities at the intermediate or final destination.\nThe passenger is required to prepare the animal for the flight according to the recommendations of a veterinarian.\nEL AL will not be held responsible in the event an animal is denied transit or entry into another country.\nTransport cage guidelines\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nTransporting service dogs in the aircraft cabin\nService dogs that are accompanying:\n\nA passenger with special needs.\nAn I.D.F soldier / A person experiencing \"shell shock\" (Post-trauma caused by military service).\nMay be transported at no additional cost in the aircraft cabin, subject to the following terms and conditions:\n\nYou must hold an official document/License that states that your dog has been properly trained and is in active duty as your service dog from one of the certified organization for training service dogs (The Israel Service Dogs Training Center, The Israel Guide Dog Center for The Blind).\nIt is the sole responsibility of the passenger to ensure all documents and/or authorizations required by the destination country for the transport of a service dog have been completed. EL AL will bear no responsibility in this regard.\nThe passenger is required to update the Service Center regarding a flight with a service dog, no later than 48 hours prior to the flight date.\nThe passenger must provide a veterinary certificate\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-d14c0500ff6d2ba3a707f20cd23d78cb

@@ -0,0 +1 @@
+{"result": "**Output:**\n\n**NONE**\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  terminals of unpackaged batteries also helps to insulate them and prevent short circuit.\n\nBattery-powered wheelchairs/mobility aids on EL AL flights\nBattery-powered mobility aids must comply with the relevant IATA regulations. For your convenience, you can view the Summary of Regulations.\nIf your battery is on the list of batteries allowed on the aircraft and in order for EL AL to be prepared to transport the mobility aid, you must report, at least 14 days before the flight, that you intend to arrive at the flight with the mobility aid. You must send an email to [email protected] indicating the model of the wheelchair/scooter and battery as shown on the list.\nIf your battery does not appear on the list of flight-approved batteries, please fill out and submit a portable vehicle flight form. After filling out the form and sending it to [email protected], you will receive authorization to travel with your mobility aid within approximately 7 business days, depending on the urgency of your flight dates.\nTraveling with hazardous materials on EL AL flights\n\nAre you planning to fly with dry ice? Contact the EL AL service center in advance to update the details of your flight. Additionally, you will need to fill out a Declaration Form and bring it with you on the flight.\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-e9490149446090912b1c021e47b4b17d

@@ -0,0 +1 @@
+{"result": "**##**  \n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  proceed to designated security check areas. Those who haven't checked in online should use El Al's check-in counters. Ensure all necessary documents are available according to your flight destination.\n\nReturning to Israel from abroad?\nAll passengers must check in at the counters, regardless of luggage.\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-ea986d57d64a70d233cadfbb9a7417b8

@@ -0,0 +1 @@
+{"result": "(EL AL<|>NONE<|>BAGGAGE MEASUREMENTS AND RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>EL AL is not and will not be responsible for any liquids confiscated from passengers at the airport.<|>EL AL is not and will not be responsible for any liquids confiscated from passengers at the airport.)\n##\n(ISRAEL<|>NONE<|>BAGGAGE MEASUREMENTS AND RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>It is important to know what you can take with you aboard the aircraft when departing from Israel.<|>For your convenience, we have compiled some non-exhaustive general information for you about carrying liquids in carry-on bags on flights departing from Israel.)\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: Liquids in Carry-On Bags\nWhether you just splurged on a bottle of fine whiskey or you are traveling with gels, cosmetics, baby food, or even prescription medications, prior to boarding a flight it is important to know exactly what you are allowed to take on board and what you must check.\n\nLiquids in Carry-On Bags\nPrior to taking off, it is important to know what you can take with you aboard the aircraft. Today, at most airports around the world, there is a limit on the amount and type of liquids that passengers may carry in their carry-on bags when boarding a flight. Liquids, aerosols, gels, creams, etc. that exceed the permitted amount will be discarded at the security checkpoint if they do not meet the updated guidelines.\n\nFor your convenience, we have compiled some non-exhaustive general information for you about carrying liquids in carry-on bags on flights departing from Israel. Please note that it is your responsibility to stay up to date on the specific conditions that may apply to flights to or from certain countries-including connecting and codeshare flights—with respect to carrying liquids in handbags, as these may change from time to time.\n\n\nGeneral information about carrying liquids in handbags to U.S\nThe volume of the container (Liquids , Aerosols, Gels) cannot exceed 100 ml (3.4 oz).\nAll items must be packed together in a clear resealable plastic bag.\nMedications and special food products (such as baby food) do not have to be in the plastic bag. These items must be presented at the security checkpoint, along with the corresponding doctor’s note.​\n​Passengers embarking on a connecting flight cannot purchase products prohibited aboard the aircraft, not even from the Duty Free on the plane.\nEL AL is not and will not be responsible for any liquids confiscated from passengers at the airport.\nPlease note that there may be additional inspections and requirements including at the gate.\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-ee1fd8bc4f48b4c5c174e6b9f8e243b9

@@ -0,0 +1 @@
+{"result": "**Output:**\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  was damaged or you are missing items from your suitcase, you must contact us within 7 days from the day you received your baggage.\nIn the event of a delay in receiving your baggage outside your country of residence, you must contact us within 21 days from the day you received your baggage.\nIn the event of lost baggage, you must contact us after 21 days from the day of the incident.\nWhen contacting us, please attach a copy of the following documents to your claim and hold onto the originals:\n\nFlight tickets\nBoarding passes\nBaggage tags (the stickers affixed to the flight ticket and/or the object)\nLost or damaged baggage report from the airport\nReceipts that support the claim \n \n\nPlease note that the claim will be handled in accordance with the terms of the contract of carriage and in accordance with international conventions and laws, which determine the carrier's liability. EL AL Israel Airlines reserves the right to refuse to accept liability if the claim concerns, either wholly or in part, fragile or perishable items, food, liquids, cash, jewelry, cameras, computers, video devices, electronics, negotiable instruments or securities, legacies, antiques, valuable items, works of art, gold and silver items, rare books or publications, business documents, precious metals or other valuables.\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-ef603496e9744729c924faed5dc8aa74

@@ -0,0 +1 @@
+{"result": "There are no entities or claims that match the specified criteria in the provided text. The text primarily contains information about baggage claims and contact details for various stores, but it does not include any specific claims related to baggage measurements, weight limits, or restrictions from airline documentation.\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  with the baggage tag. Please do not remove the baggage tag from the handle.\n\nIn the event you only noticed the damage after you have left the airport, or if any of the items inside the baggage were damaged (i.e. items that did not receive a separate baggage tag), you must report this to the Baggage Claims Department within 7 days in writing via the Digital Contact Form\n\nYou may as send claim to our mailing address: EL AL Israel Airlines Ltd., Baggage Claims, P.O. Box 41, Ben Gurion Airport, Zip Code 7015001.\nList of participating stores\nChoose\nCenter area\nTel-Aviv\n \n\nMakor Haziud Baggage and Outdoor Equipment\nAddress: Haaliya Street 24\nTel: 03-6822330\n\nWeShoes\nMemsi Touring\nBialik 3\nTel: 076-8100205\n\nLog In Log Out - Importer of Luggage and Bags\nSteinman 20 (Bavli Neighborhood)\nTel: 052-2310738\n\nARTY Rimon\nService Pickup and delivery service\nTel: 1700504544\nWhatsApp: 0532310738\n\n\nRamat Gan and Gevataim:\nARTY Rimon\nService Pickup and delivery service\nTel: 1700504544\nWhatsApp: 053-2310738\n\n\nBat Yam\nARTY Rimon\nService Pickup and delivery service\nTel: 1700504544\nWhatsApp: 053-2310738\n\n\nHolon\nShin Tik\nMemsi Touring\nSokolov 59\nTel: 03-5040752\n\nARTY Rimon\nService Pickup and delivery service\nTel: 1700504544\nWhatsApp: 053-2310738\n\n\nPetach Tikva\nARTY Rimon – Import marketing and distribution ltd\nHameretz 6\nTel: 03-9229049\n\nTrek Market\nMemsi Touring\nIzthak Rabin 2\n03-5069443\n\nService Pickup and delivery service\nTel: 054-2520061\n\n\nKiryat Ono\nWeShoes\nShlomo Ha-Melekh 37\nTel: 0768100223\n\nARTY Rimon\nService Pickup and delivery service\nTel: 1700504544\nWhatsApp: 0532310738\n\n\nAirport City:\nCargo\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-f26a2610de101a66faf3dd8e52250edc

@@ -0,0 +1 @@
+{"result": "There are no specific named entities or claims related to baggage measurements, weight limits, and restrictions from airline documentation in the provided text. The text primarily discusses general information about transporting sporting equipment without mentioning specific organizations, persons, geographical locations, or events that would fit the entity specification.\n\nTherefore, the output is:\n\n<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: Flying with sporting equipment?\nAre you planning the perfect ski vacation? Maybe heading out for a wild bike trip? Wherever you're going, there are a few things you need to know before you start packing. So now that we’ve gotten warmed up, here’s some important information about flying with sporting equipment.\n\nImportant to know\nWe offer complimentary transport of sports equipment in place of your standard checked baggage, under the following conditions:\n- Economy Class (excluding Lite fares) and Premium Class: Sports equipment with dimensions up to 190 cm (length + width + height) and weighing up to 30 kg.\n- Business Class: Sports equipment with dimensions up to 190 cm (length + width + height) and weighing up to 32 kg.\nNote: For those flying with skiing or snowboarding equipment, please see the additional benefits below.\n\nIf your equipment weighs up to 32 kg and its total measurements (length + height + width) are under 277 cm, it can be sent as overweight baggage, but you’ll need to contact the El Al call center for approval.\n\nIf your equipment exceeds the permitted dimensions, or you prefer to send your equipment separately from your permitted baggage allowance, you can transport the equipment as cargo via the EL AL Cargo Division (Tel. +972-3-977-1177 or according to the details listed on the website).\nAdditional Sports Equipment\nIf you need to bring sports equipment in addition to your standard baggage allowance, the following applies:\n\n\nAllowed Dimensions and Weight: Sports equipment with dimensions up to 277 cm (length + width + height) and weighing up to 50 kg.\n\nFees:\n- Europe, the Middle East, and Morocco: $70 one way.\n- Far East and North America: $150 one way.\n\nPlease ensure that your sports equipment meets these requirements to take advantage of our sports equipment transport service.\n\nPayment for the transport of sporting equipment will be made at the airport only and cannot be made in advance. Costs are determined according to the following regulations:\n\nThe final cost will be determined on the date of payment, according to the service cost on that date. Costs may vary depending on destination and flight, according to the sole discretion of the airline.\nChecked baggage containing sporting equipment must meet the permitted size and weight dimensions for that passenger’s checked baggage allowance. If your equipment exceeds the permitted dimensions, excess baggage charges will apply, according to the regulations stipulated on this page.\nPrices are displayed in US dollars. At some airports,\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/chat-fa74bb89bcdadf8b720c8e189fc535f8

@@ -0,0 +1 @@
+{"result": "<|COMPLETE|>", "input": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  cargo terminal. Please contact the EL AL Cargo Store.\nOutput:", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": null}

cache/claim_extraction/extract-continuation-0-chat-v2-05fae2bc1f31834b8358124848cd185f

@@ -0,0 +1 @@
+{"result": "**Output:**\n\n(EL AL<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>The maximum carry-on bag size on El Al flights is up to 56 cm (length), 45 cm (width), and 25 cm (depth), not exceeding a total dimension of 115 cm. These measurements include wheels, handles, and side pockets.<|>Important information: The maximum carry-on bag size on El Al flights is up to 56 cm (length), 45 cm (width), and 25 cm (depth), not exceeding a total dimension of 115 cm. These measurements include wheels, handles, and side pockets.)\n##\n(EL AL<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>Each carry-on bag must meet weight and dimension limits. The maximum dimensions include pockets, wheels, and handles.<|>Each carry-on bag must meet weight and dimension limits. The maximum dimensions include pockets, wheels, and handles.)\n##\n(EL AL<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>Passengers requiring additional space for oversized items (e.g., cellos) must purchase an extra seat.<|>Passengers requiring additional space for oversized items (e.g., cellos) must purchase an extra seat.)\n##\n(EL AL<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>Duty-free products purchased at the airport count towards the baggage allowance.<|>Duty-free products purchased at the airport count towards the baggage allowance.)\n##\n(EL AL<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>Enforcement of weight and dimension restrictions is carried out by El Al representatives. Items not meeting requirements will be checked to the plane's belly.<|>Enforcement of weight and dimension restrictions is carried out by El Al representatives. Items not meeting requirements will be checked to the plane's belly.)\n##\n(EL AL<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>If no free space is available, carry-on bags will be checked to the plane's belly at no charge.<|>If no free space is available, carry-on bags will be checked to the plane's belly at no charge.)\n##\n(EL AL<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>Passengers may bring one personal bag on board, regardless of card type or travel class.<|>Passengers may bring one personal bag on board, regardless of card type or travel class.)\n##\n(EL AL<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>Personal bag dimensions should not exceed 18x38x30 cm.<|>Personal bag dimensions should not exceed 18x38x30 cm.)\n##\n(EL AL<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>Unusual items may only be carried in the cabin with prior coordination and approval from El Al's service center.<|>Unusual items may only be carried in the cabin with prior coordination and approval from El Al's service center.)\n##\n(EL AL<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>Exceeding eligibility may incur fees.<|>Exceeding eligibility may incur fees.)\n<|COMPLETE|>", "input": "MANY entities were missed in the last extraction.  Add them below using the same format:\n", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": [{"role": "user", "content": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  bags, maximum 16 kg for one bag, with a combined weight not exceeding 20 kg.\nPlease note:\nIf no free space is available, carry-on bags will be checked to the plane's belly at no charge. We recommend removing medications, passports, valuables, and electronic devices from carry-on bags for easy access during the flight.\n\n\nPersonal bag\nPassengers may bring one personal bag on board, regardless of card type or travel class.\nWhat qualifies as a personal bag? Backpacks, laptop bags, makeup bags, strollers approved for plane boarding, duty-free items purchased at the airport or during the flight (for storage under the seat), and more.\nAirplane storage\nWhere can you store your carry-on and personal bags on the plane?\n\n\nOverhead storage\nCarry-on bags must be stored in overhead compartments above your seat.\nSuitcases should be placed with the front facing outward, wheels facing inward, and handle inserted.\n\nUnder-seat storage:\nPersonal bags must be placed under the seat in front of you.\nPassengers seated in emergency exit rows may also store bags and personal items in overhead compartments.\n\nImportant information:\nThe maximum carry-on bag size on El Al flights is up to 56 cm (length), 45 cm (width), and 25 cm (depth), not exceeding a total dimension of 115 cm. These measurements include wheels, handles, and side pockets.\nPersonal bag dimensions should not exceed 18x38x30 cm.\nPassengers requiring additional space for oversized items (e.g., cellos) must purchase an extra seat.\nUnusual items may only be carried in the cabin with prior coordination and approval from El Al's service center.\nDuty-free products purchased at the airport count towards the baggage allowance.\nExceeding eligibility may incur fees.\nEach carry-on bag must meet weight and dimension limits. The maximum dimensions include pockets, wheels, and handles.\nUnsure if you meet the requirements? Use the meters available at check-in counters and boarding gates.\nEnforcement of weight and dimension restrictions is carried out by El Al representatives. Items not meeting requirements will be checked to the plane's belly.\nTraveling with only carry-on luggage or a small bag?\nPassengers with pre-checked carry-on luggage can proceed to designated security check areas. Those who haven't checked in online should use El Al's check-in counters. Ensure all necessary documents are available according to your flight destination.\n\nReturning to Israel from abroad?\nAll passengers must check in at the counters,\nOutput:"}, {"role": "assistant", "content": "**Output:**\n\n**NONE**\n\n<|COMPLETE|>"}]}

cache/claim_extraction/extract-continuation-0-chat-v2-12b5f37b49e630f04cfdf3b7df8f879c

@@ -0,0 +1 @@
+{"result": "I apologize for the oversight. Let's extract the relevant entities and claims again based on the provided text.\n\nEntity specification: ['organization', 'person', 'geo', 'event']  \nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.  \nText: Carry-on baggage Whether you are just taking a backpack for a short flight or you packed your entire closet, it is important for you to know what you are allowed to take with you aboard the aircraft. First and foremost In addition to checked luggage, we allow passengers to bring personal bags and carry-on bags (trolleys) into the passenger cabin. It's crucial to consider the dimensions and weight of your bags and luggage to ensure timely departures. Eligibility to bring these items onto the plane depends on your travel class, ticket type, and Matmid Frequent Flyer Club status. You can find more details in the flight ticket terms or the booking management section of our website. Carry-on bags is stored in overhead compartments, while personal bags are stored under the seat to maximize cabin space. If overhead space is unavailable, particularly on full flights or specific aircraft, we may need to transport your carry-on luggage to the plane's belly at no extra cost, even if it complies with size and weight restrictions. In such cases, you'll be asked to check your carry-on at the check-in counters or boarding gate, and it will be available for pickup at the baggage conveyor belt upon arrival. This information applies to flights operated by EL AL and Sun Dor only. For flights operated by partner airlines, please check their respective websites for carry-on policies. Eligibility, Dimensions, and Weight What are the maximum dimensions and weights for carry-ons (trolleys) and personal bags approved for boarding? Carry-on Bags – Economy Class: Lite - entitled to one carry-on bag, maximum 8 kg. Classic - entitled to one carry-on bag, maximum 8 kg. Flex - entitled to two carry-on bags, maximum 8 kg per bag (total weight of both bags up to 12 kg). *On our non-stop flights from/to North America, currently only \"Classic\" and \"Flex\" tickets are available for purchase (For departures from November 3, 2024). Carry-on Bags - Premium and Business Classes Premium - entitled to two carry-on bags, maximum 8 kg per bag, with a combined weight not exceeding 12 kg. Business - entitled to two carry-on bags, maximum 16 kg for one bag, with a combined weight not exceeding 20 kg. Please note: If no free space is available, carry-on bags will be checked to the plane's belly at no charge. We recommend removing medications.\n\nOutput:\n\n(EL AL<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>This information applies to flights operated by EL AL and Sun Dor only.<|>This information applies to flights operated by EL AL and Sun Dor only.)  \n(SUN DOR<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>This information applies to flights operated by EL AL and Sun Dor only.<|>This information applies to flights operated by EL AL and Sun Dor only.)  \n(LITE<|>NONE<|>BAGGAGE MEASUREMENTS<|>TRUE<|>NONE<|>NONE<|>Lite - entitled to one carry-on bag, maximum 8 kg.<|>Carry-on Bags – Economy Class: Lite - entitled to one carry-on bag, maximum 8 kg.)  \n(CLASSIC<|>NONE<|>BAGGAGE MEASUREMENTS<|>TRUE<|>NONE<|>NONE<|>Classic - entitled to one carry-on bag, maximum 8 kg.<|>Carry-on Bags – Economy Class: Classic - entitled to one carry-on bag, maximum 8 kg.)  \n(FLEX<|>NONE<|>BAGGAGE MEASUREMENTS<|>TRUE<|>NONE<|>NONE<|>Flex - entitled to two carry-on bags, maximum 8 kg per bag (total weight of both bags up to 12 kg).<|>Carry-on Bags – Economy Class: Flex - entitled to two carry-on bags, maximum 8 kg per bag (total weight of both bags up to 12 kg).)  \n(PREMIUM<|>NONE<|>BAGGAGE MEASUREMENTS<|>TRUE<|>NONE<|>NONE<|>Premium - entitled to two carry-on bags, maximum 8 kg per bag, with a combined weight not exceeding 12 kg.<|>Carry-on Bags - Premium and Business Classes Premium - entitled to two carry-on bags, maximum 8 kg per bag, with a combined weight not exceeding 12 kg.)  \n(BUSINESS<|>NONE<|>BAGGAGE MEASUREMENTS<|>TRUE<|>NONE<|>NONE<|>Business - entitled to two carry-on bags, maximum 16 kg for one bag, with a combined weight not exceeding 20 kg.<|>Carry-on Bags - Premium and Business Classes Business - entitled to two carry-on bags, maximum 16 kg for one bag, with a combined weight not exceeding 20 kg.)  \n\n<|COMPLETE|>", "input": "MANY entities were missed in the last extraction.  Add them below using the same format:\n", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": [{"role": "user", "content": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: Carry-on baggage\nWhether you are just taking a backpack for a short flight or you packed your entire closet, it is important for you to know what you are allowed to take with you aboard the aircraft.\n\nFirst and foremost\nIn addition to checked luggage, we allow passengers to bring personal bags and carry-on bags (trolleys) into the passenger cabin. It's crucial to consider the dimensions and weight of your bags and luggage to ensure timely departures. Eligibility to bring these items onto the plane depends on your travel class, ticket type, and Matmid Frequent Flyer Club status. You can find more details in the flight ticket terms or the booking management section of our website.\n\nCarry-on bags is stored in overhead compartments, while personal bags are stored under the seat to maximize cabin space. If overhead space is unavailable, particularly on full flights or specific aircraft, we may need to transport your carry-on luggage to the plane's belly at no extra cost, even if it complies with size and weight restrictions. In such cases, you'll be asked to check your carry-on at the check-in counters or boarding gate, and it will be available for pickup at the baggage conveyor belt upon arrival.\n\nThis information applies to flights operated by EL AL and Sun Dor only. For flights operated by partner airlines, please check their respective websites for carry-on policies.\n\nEligibility, Dimensions, and Weight\nWhat are the maximum dimensions and weights for carry-ons (trolleys) and personal bags approved for boarding?\n\nCarry-on Bags – Economy Class:\nLite - entitled to one carry-on bag, maximum 8 kg.\nClassic - entitled to one carry-on bag, maximum 8 kg.\nFlex - entitled to two carry-on bags, maximum 8 kg per bag (total weight of both bags up to 12 kg).\n\n*On our non-stop flights from/to North America, currently only \"Classic\" and \"Flex\" tickets are available for purchase (For departures from November 3, 2024).\n\nCarry-on Bags - Premium and Business Classes\nPremium - entitled to two carry-on bags, maximum 8 kg per bag, with a combined weight not exceeding 12 kg.\nBusiness - entitled to two carry-on bags, maximum 16 kg for one bag, with a combined weight not exceeding 20 kg.\nPlease note:\nIf no free space is available, carry-on bags will be checked to the plane's belly at no charge. We recommend removing medications,\nOutput:"}, {"role": "assistant", "content": "**##**\n\n<|COMPLETE|>"}]}

cache/claim_extraction/extract-continuation-0-chat-v2-16ef034d670fa5d77c6968e90369eb5d

@@ -0,0 +1 @@
+{"result": "Entity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: obtain the appropriate permits in advance. The Ministry of Health is the body that has the authority to approve the entry of animals into Israel. It will also determine how the animal will be transported, be it in the passenger aircraft cabin, as baggage in the aircraft hold, or as registered cargo.\n\nThe main factor that influences the mode of transport is the animal’s weight:\n\nAnimals (Dogs, cats or exotic birds only) weighing up to 9 kg with their cage – They can usually be transported in the aircraft cabin.\nTransporting an animal (up to 9 kg) in the Business cabin is subject to the approval of the EL AL service center and the availability in Business cabin. The number of pets allowed in this cabin is limited and we recommend contacting the EL AL service center as early as possible to make the reservation.\nAnimals weighing between 9 kg and 100 kg with their cage – They can usually be transported in the aircraft hold.\nAnimals weighing more than 100 kg with their cage – They can usually be transported as registered cargo in the aircraft hold.\nIt is important to note that there are additional factors that may affect the animal’s mode of transport.\n\nPlease note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.\n\nHow to obtain authorization to transport an animal to Israel:\nContact the local authorities to obtain the required documents.\nAfter receiving the required documents and no later than two business days prior to the flight, email Veterinary Services at Ben Gurion Airport at [email protected] and include the following documents in a PDF file: certificate of good health, rabies antibody test, Appendices B and C (the last page of the file below). If you have met all of the conditions, the Veterinary Services flight permit will be sent to you by email.\nDid you send the documents to Veterinary Services and you did not receive a response within four hours?\nPlease call: +972-3-9792240\nUpdate us upon receiving the Veterinary Services permit. If the permit states that the animal will be transported with a bill of lading (cargo), please follow the guidelines for transporting pets as cargo. If the permit states that the animal will be transported as baggage, update the EL AL Service Center or the travel agent through which.\n\nOutput:\n\n(MINISTRY OF HEALTH<|>ISRAEL<|>REGULATORY AUTHORITY<|>TRUE<|>NONE<|>NONE<|>The Ministry of Health is the body that has the authority to approve the entry of animals into Israel and determine how the animal will be transported.<|>The Ministry of Health is the body that has the authority to approve the entry of animals into Israel. It will also determine how the animal will be transported, be it in the passenger aircraft cabin, as baggage in the aircraft hold, or as registered cargo.)\n##\n(EL AL SERVICE CENTER<|>NONE<|>TRANSPORTATION APPROVAL<|>TRUE<|>NONE<|>NONE<|>Transporting an animal (up to 9 kg) in the Business cabin is subject to the approval of the EL AL service center and the availability in Business cabin.<|>Transporting an animal (up to 9 kg) in the Business cabin is subject to the approval of the EL AL service center and the availability in Business cabin.)\n##\n(BEN GURION AIRPORT<|>NONE<|>VETERINARY SERVICES<|>TRUE<|>NONE<|>NONE<|>Email Veterinary Services at Ben Gurion Airport to obtain the required documents for transporting an animal to Israel.<|>After receiving the required documents and no later than two business days prior to the flight, email Veterinary Services at Ben Gurion Airport at [email protected] and include the following documents in a PDF file: certificate of good health, rabies antibody test, Appendices B and C (the last page of the file below).)\n##\n(BANGKOK<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Bangkok.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(AMSTERDAM<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Amsterdam.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(BOSTON<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Boston.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(MUMBAI<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Mumbai.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(BRUSSELS<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Brussels.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(LARNACA<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Larnaca.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(FRANKFURT<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Frankfurt.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(MOSCOW<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Moscow.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(MUNICH<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Munich.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(MADRID<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Madrid.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(BERLIN<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Berlin.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(PRAGUE<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Prague.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(WARSAW<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Warsaw.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(TORONTO<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Toronto.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(VIENNA<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Vienna.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(BUDAPEST<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Budapest.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(KYIV<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Kyiv.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n##\n(ROME<|>NONE<|>TRANSPORTATION RESTRICTION<|>TRUE<|>NONE<|>NONE<|>Animals cannot be transported as registered cargo from certain airports, including Rome.<|>Please note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome.)\n<|COMPLETE|>", "input": "MANY entities were missed in the last extraction.  Add them below using the same format:\n", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": [{"role": "user", "content": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  obtain the appropriate permits in advance. The Ministry of Health is the body that has the authority to approve the entry of animals into Israel. It will also determine how the animal will be transported, be it in the passenger aircraft cabin, as baggage in the aircraft hold, or as registered cargo.\n\nThe main factor that influences the mode of transport is the animal’s weight:\n\nAnimals (Dogs, cats or exotic birds only) weighing up to 9 kg with their cage – They can usually be transported in the aircraft cabin.\nTransporting an animal (up to 9 kg) in the Business cabin is subject to the approval of the EL AL service center and the availability in Business cabin. The number of pets allowed in this cabin is limited and we recommend contacting the EL AL service center as early as possible to make the reservation.\nAnimals weighing between 9 kg and 100 kg with their cage – They can usually be transported in the aircraft hold.\nAnimals weighing more than 100 kg with their cage – They can usually be transported as registered cargo in the aircraft hold.\nIt is important to note that there are additional factors that may affect the animal’s mode of transport.\n\n \n\nPlease note: There are certain airports from which animals cannot be transported as registered cargo: Bangkok, Amsterdam, Boston, Mumbai, Brussels, Larnaca, Frankfurt, Moscow, Munich, Madrid, Berlin, Prague, Warsaw, Toronto, Vienna, Budapest, Kyiv, and Rome. \n\nHow to obtain authorization to transport an animal to Israel:\nContact the local authorities to obtain the required documents.\nAfter receiving the required documents and no later than two business days prior to the flight, email Veterinary Services at Ben Gurion Airport at [email protected] and include the following documents in a PDF file: certificate of good health, rabies antibody test, Appendices B and C (the last page of the file below). If you have met all of the conditions, the Veterinary Services flight permit will be sent to you by email.\nDid you send the documents to Veterinary Services and you did not receive a response within four hours?\nPlease call: +972-3-9792240\nUpdate us upon receiving the Veterinary Services permit. If the permit states that the animal will be transported with a bill of lading (cargo), please follow the guidelines for transporting pets as cargo. If the permit states that the animal will be transported as baggage, update the EL AL Service Center or the travel agent through which\nOutput:"}, {"role": "assistant", "content": "There are no entities that match the specified entity types (organization, person, geo, event) in the provided text. Additionally, there are no claims related to baggage measurements, weight limits, and restrictions from airline documentation that can be extracted.\n\n<|COMPLETE|>"}]}

cache/claim_extraction/extract-continuation-0-chat-v2-1d681b1b25c63b9031e12053ce8e1caf

@@ -0,0 +1 @@
+{"result": "**Output:**\n\n<|COMPLETE|>", "input": "MANY entities were missed in the last extraction.  Add them below using the same format:\n", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": [{"role": "user", "content": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  was damaged or you are missing items from your suitcase, you must contact us within 7 days from the day you received your baggage.\nIn the event of a delay in receiving your baggage outside your country of residence, you must contact us within 21 days from the day you received your baggage.\nIn the event of lost baggage, you must contact us after 21 days from the day of the incident.\nWhen contacting us, please attach a copy of the following documents to your claim and hold onto the originals:\n\nFlight tickets\nBoarding passes\nBaggage tags (the stickers affixed to the flight ticket and/or the object)\nLost or damaged baggage report from the airport\nReceipts that support the claim \n \n\nPlease note that the claim will be handled in accordance with the terms of the contract of carriage and in accordance with international conventions and laws, which determine the carrier's liability. EL AL Israel Airlines reserves the right to refuse to accept liability if the claim concerns, either wholly or in part, fragile or perishable items, food, liquids, cash, jewelry, cameras, computers, video devices, electronics, negotiable instruments or securities, legacies, antiques, valuable items, works of art, gold and silver items, rare books or publications, business documents, precious metals or other valuables.\nOutput:"}, {"role": "assistant", "content": "**Output:**\n\n<|COMPLETE|>"}]}

cache/claim_extraction/extract-continuation-0-chat-v2-260e1c44aea17a05d6eb4e9be4e05ec6

@@ -0,0 +1 @@
+{"result": "Entity specification: ['organization', 'person', 'geo', 'event']  \nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.  \nText: Information on batteries and dangerous substances  \nWhether its batteries, a laptop, or even medical equipment, before boarding a flight it is important to know that there are certain articles and substances that are classified as dangerous, so taking them on your flight may require advance preparation or you may not even be able to take them with you at all.  \n\nSubstances and articles forbidden on the aircraft:  \nCompressed gases (deeply refrigerated, flammable, non-flammable and poisonous) such as butane and oxygen, aqualung cylinders, and compressed gas cylinders.  \nCorrosives, such as acids, alkalis, wet cell batteries, and items containing mercury.  \nExplosives other than light ammunition.  \nFlammable liquids and solids.  \nRadioactive materials.  \nBriefcases with installed alarm devices.  \nOxidizing materials (hydrogen peroxide, bleaching powders, etc.).  \nPoisons and infectious substances, such as insecticides, herbicides, and live virus materials.  \nItems such as high-strength magnetic materials, materials that can harm people or the environment.  \n\nOutput:  \n\n(NONE<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>Certain articles and substances are classified as dangerous and may require advance preparation or may not be allowed on flights.<|>Whether its batteries, a laptop, or even medical equipment, before boarding a flight it is important to know that there are certain articles and substances that are classified as dangerous, so taking them on your flight may require advance preparation or you may not even be able to take them with you at all.)  \n(NONE<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>Substances and articles forbidden on the aircraft include compressed gases, corrosives, explosives, flammable liquids and solids, radioactive materials, briefcases with installed alarm devices, oxidizing materials, poisons, and infectious substances.<|>Substances and articles forbidden on the aircraft: Compressed gases (deeply refrigerated, flammable, non-flammable and poisonous) such as butane and oxygen, aqualung cylinders, and compressed gas cylinders. Corrosives, such as acids, alkalis, wet cell batteries, and items containing mercury. Explosives other than light ammunition. Flammable liquids and solids. Radioactive materials. Briefcases with installed alarm devices. Oxidizing materials (hydrogen peroxide, bleaching powders, etc.). Poisons and infectious substances, such as insecticides, herbicides, and live virus materials. Items such as high-strength magnetic materials, materials that can harm people or the environment.)  \n<|COMPLETE|>", "input": "MANY entities were missed in the last extraction.  Add them below using the same format:\n", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": [{"role": "user", "content": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: Information on batteries and dangerous substances\nWhether its batteries, a laptop, or even medical equipment, before boarding a flight it is important to know that there are certain articles and substances that are classified as dangerous, so taking them on your flight may require advance preparation or you may not even be able to take them with you at all.\n\nSubstances and articles forbidden on the aircraft:\n Compressed gases (deeply refrigerated, flammable, non-flammable and poisonous) such as   butane and oxygen, aqualung cylinders, and compressed gas cylinders.\n Corrosives, such as acids, alkalis, wet cell batteries, and items containing mercury.\n Explosives other than light ammunition.\n Flammable liquids and solids.\n Radioactive materials.\n Briefcases with installed alarm devices.\n Oxidizing materials (hydrogen peroxide, bleaching powders, etc.).\n Poisons and infectious substances, such as insecticides, herbicides, and live virus materials.\n Items such as high-strength magnetic materials, materials that can harm people or the environment.\nOutput:"}, {"role": "assistant", "content": "**##**  \n<|COMPLETE|>"}]}

cache/claim_extraction/extract-continuation-0-chat-v2-2b57a933f1bd3add919186f06c4461f2

@@ -0,0 +1 @@
+{"result": "Thank you for your patience. Let's identify the entities and claims based on the provided text.\n\n### Entities Identified:\n1. **EL AL Cargo Division** (organization)\n2. **Europe** (geo)\n3. **Middle East** (geo)\n4. **Morocco** (geo)\n5. **Far East** (geo)\n6. **North America** (geo)\n\n### Claims Extracted:\n1. **Claim about baggage measurements and weight limits for sporting equipment:**\n   - Subject: EL AL CARGO DIVISION\n   - Object: NONE\n   - Claim Type: BAGGAGE MEASUREMENTS\n   - Claim Status: TRUE\n   - Claim Description: The EL AL Cargo Division allows sports equipment with dimensions up to 277 cm (length + width + height) and weighing up to 50 kg to be transported as additional baggage.\n   - Claim Date: **NONE**\n   - Claim Source Text: \"Allowed Dimensions and Weight: Sports equipment with dimensions up to 277 cm (length + width + height) and weighing up to 50 kg.\"\n\n2. **Claim about fees for transporting sports equipment:**\n   - Subject: EL AL CARGO DIVISION\n   - Object: NONE\n   - Claim Type: TRANSPORT FEES\n   - Claim Status: TRUE\n   - Claim Description: The EL AL Cargo Division charges $70 one way for transporting sports equipment to Europe, the Middle East, and Morocco, and $150 one way for the Far East and North America.\n   - Claim Date: **NONE**\n   - Claim Source Text: \"Fees: - Europe, the Middle East, and Morocco: $70 one way. - Far East and North America: $150 one way.\"\n\n3. **Claim about payment for transport of sporting equipment:**\n   - Subject: EL AL CARGO DIVISION\n   - Object: NONE\n   - Claim Type: PAYMENT POLICY\n   - Claim Status: TRUE\n   - Claim Description: Payment for the transport of sporting equipment must be made at the airport only and cannot be made in advance.\n   - Claim Date: **NONE**\n   - Claim Source Text: \"Payment for the transport of sporting equipment will be made at the airport only and cannot be made in advance.\"\n\n### Final Output:\n(EL AL CARGO DIVISION<|>NONE<|>BAGGAGE MEASUREMENTS<|>TRUE<|>NONE<|>NONE<|>The EL AL Cargo Division allows sports equipment with dimensions up to 277 cm (length + width + height) and weighing up to 50 kg to be transported as additional baggage.<|>Allowed Dimensions and Weight: Sports equipment with dimensions up to 277 cm (length + width + height) and weighing up to 50 kg.)\n##\n(EL AL CARGO DIVISION<|>NONE<|>TRANSPORT FEES<|>TRUE<|>NONE<|>NONE<|>The EL AL Cargo Division charges $70 one way for transporting sports equipment to Europe, the Middle East, and Morocco, and $150 one way for the Far East and North America.<|>Fees: - Europe, the Middle East, and Morocco: $70 one way. - Far East and North America: $150 one way.)\n##\n(EL AL CARGO DIVISION<|>NONE<|>PAYMENT POLICY<|>TRUE<|>NONE<|>NONE<|>Payment for the transport of sporting equipment must be made at the airport only and cannot be made in advance.<|>Payment for the transport of sporting equipment will be made at the airport only and cannot be made in advance.)\n##\n(EUROPE<|>NONE<|>GEOGRAPHICAL LOCATION<|>TRUE<|>NONE<|>NONE<|>Europe is mentioned as a destination for transporting sports equipment.<|>Fees: - Europe, the Middle East, and Morocco: $70 one way.)\n##\n(MIDDLE EAST<|>NONE<|>GEOGRAPHICAL LOCATION<|>TRUE<|>NONE<|>NONE<|>The Middle East is mentioned as a destination for transporting sports equipment.<|>Fees: - Europe, the Middle East, and Morocco: $70 one way.)\n##\n(MOROCCO<|>NONE<|>GEOGRAPHICAL LOCATION<|>TRUE<|>NONE<|>NONE<|>Morocco is mentioned as a destination for transporting sports equipment.<|>Fees: - Europe, the Middle East, and Morocco: $70 one way.)\n##\n(FAR EAST<|>NONE<|>GEOGRAPHICAL LOCATION<|>TRUE<|>NONE<|>NONE<|>The Far East is mentioned as a destination for transporting sports equipment.<|>Fees: - Far East and North America: $150 one way.)\n##\n(NORTH AMERICA<|>NONE<|>GEOGRAPHICAL LOCATION<|>TRUE<|>NONE<|>NONE<|>North America is mentioned as a destination for transporting sports equipment.<|>Fees: - Far East and North America: $150 one way.)\n<|COMPLETE|>", "input": "MANY entities were missed in the last extraction.  Add them below using the same format:\n", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": [{"role": "user", "content": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: Flying with sporting equipment?\nAre you planning the perfect ski vacation? Maybe heading out for a wild bike trip? Wherever you're going, there are a few things you need to know before you start packing. So now that we’ve gotten warmed up, here’s some important information about flying with sporting equipment.\n\nImportant to know\nWe offer complimentary transport of sports equipment in place of your standard checked baggage, under the following conditions:\n- Economy Class (excluding Lite fares) and Premium Class: Sports equipment with dimensions up to 190 cm (length + width + height) and weighing up to 30 kg.\n- Business Class: Sports equipment with dimensions up to 190 cm (length + width + height) and weighing up to 32 kg.\nNote: For those flying with skiing or snowboarding equipment, please see the additional benefits below.\n\nIf your equipment weighs up to 32 kg and its total measurements (length + height + width) are under 277 cm, it can be sent as overweight baggage, but you’ll need to contact the El Al call center for approval.\n\nIf your equipment exceeds the permitted dimensions, or you prefer to send your equipment separately from your permitted baggage allowance, you can transport the equipment as cargo via the EL AL Cargo Division (Tel. +972-3-977-1177 or according to the details listed on the website).\nAdditional Sports Equipment\nIf you need to bring sports equipment in addition to your standard baggage allowance, the following applies:\n\n\nAllowed Dimensions and Weight: Sports equipment with dimensions up to 277 cm (length + width + height) and weighing up to 50 kg.\n\nFees:\n- Europe, the Middle East, and Morocco: $70 one way.\n- Far East and North America: $150 one way.\n\nPlease ensure that your sports equipment meets these requirements to take advantage of our sports equipment transport service.\n\nPayment for the transport of sporting equipment will be made at the airport only and cannot be made in advance. Costs are determined according to the following regulations:\n\nThe final cost will be determined on the date of payment, according to the service cost on that date. Costs may vary depending on destination and flight, according to the sole discretion of the airline.\nChecked baggage containing sporting equipment must meet the permitted size and weight dimensions for that passenger’s checked baggage allowance. If your equipment exceeds the permitted dimensions, excess baggage charges will apply, according to the regulations stipulated on this page.\nPrices are displayed in US dollars. At some airports,\nOutput:"}, {"role": "assistant", "content": "There are no specific named entities or claims related to baggage measurements, weight limits, and restrictions from airline documentation in the provided text. The text primarily discusses general information about transporting sporting equipment without mentioning specific organizations, persons, geographical locations, or events that would fit the entity specification.\n\nTherefore, the output is:\n\n<|COMPLETE|>"}]}

cache/claim_extraction/extract-continuation-0-chat-v2-2e47caa7d83c3e78067cb498c87987ea

@@ -0,0 +1 @@
+{"result": "I apologize for the oversight. Let's extract the relevant entities and claims again.\n\nEntity specification: ['organization', 'person', 'geo', 'event']  \nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.  \nText: meet the permitted size and weight dimensions for that passenger’s checked baggage allowance. If your equipment exceeds the permitted dimensions, excess baggage charges will apply, according to the regulations stipulated on this page. Prices are displayed in US dollars. At some airports, payment is allowed only in local currency, according to the conversion rate on the date of payment. Transporting snowboards and ski equipment? In addition to the equipment and baggage allowance permitted for each passenger, you may also bring ski and snowboard equipment at no extra charge (doesn't apply on LITE fare ticket), as long as it's packed into one checked bag that weighs up to 50 kg and its total measurements do not exceed 277 cm (length + height + width). If your ski equipment exceeds the permitted dimensions, you’ll need to contact El Al’s Cargo Division (Tel: +972-3-977-1177). What does Ski and snowboards equipment include? Ski equipment includes one pair of skis, one pair of poles and one pair of ski boots. Snowboard equipment includes one snowboard and one pair of ski boots. Transporting bicycles? You can transport a bicycle at no extra charge instead of your regular checked baggage, as long as the bicycle is packed into a checked bag and meets the weight and/or size dimensions of your permitted baggage allowance (determined by the cabin class you’re flying in). Please note Motorized bicycles cannot be transported! For exceptional cases, please contact our Cargo Division. Transport of bicycles is subject to El Al approval and depends on available space in the cargo hold. Transport of bicycles also requires pre-approval from the EL AL call center. You will be charged only after you arrive at the airport, providing your bicycle is packed according to the following regulations: Remove the pedals. Dismantle the handlebar. Let out some air from the wheels and separate one wheel from the rest of the bicycle. Make sure to pack the bicycle in a box/special case, to protect it from damage and to prevent leakage of hydraulic fluid. Please note The information here applies to EL AL flights on EL AL aircrafts only. It does not apply to continuing flights or flights with other airlines. It is the passenger's responsibility to stay updated and comply with the conditions and guidelines of the destination country. EL AL will not bear any responsibility if the destination country refuses to admit the passenger's equipment. Please note that in accordance with transport conditions, EL AL does not bear responsibility for fragile.\n\nOutput:\n\n(EL AL<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>Passengers are allowed to bring ski and snowboard equipment at no extra charge, provided it is packed into one checked bag that weighs up to 50 kg and does not exceed total measurements of 277 cm.<|>In addition to the equipment and baggage allowance permitted for each passenger, you may also bring ski and snowboard equipment at no extra charge (doesn't apply on LITE fare ticket), as long as it's packed into one checked bag that weighs up to 50 kg and its total measurements do not exceed 277 cm (length + height + width).)  \n##  \n(EL AL<|>NONE<|>BAGGAGE RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>Bicycles can be transported at no extra charge instead of regular checked baggage, provided they are packed into a checked bag and meet the weight and/or size dimensions of the permitted baggage allowance.<|>You can transport a bicycle at no extra charge instead of your regular checked baggage, as long as the bicycle is packed into a checked bag and meets the weight and/or size dimensions of your permitted baggage allowance (determined by the cabin class you’re flying in).)  \n##  \n(EL AL<|>NONE<|>BAGGAGE WEIGHT LIMIT<|>TRUE<|>NONE<|>NONE<|>The maximum weight for checked baggage is 50 kg.<|>as long as it's packed into one checked bag that weighs up to 50 kg)  \n##  \n(EL AL<|>NONE<|>BAGGAGE DIMENSIONS<|>TRUE<|>NONE<|>NONE<|>The total measurements for checked baggage must not exceed 277 cm (length + height + width).<|>its total measurements do not exceed 277 cm (length + height + width).)  \n<|COMPLETE|>", "input": "MANY entities were missed in the last extraction.  Add them below using the same format:\n", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": [{"role": "user", "content": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  meet the permitted size and weight dimensions for that passenger’s checked baggage allowance. If your equipment exceeds the permitted dimensions, excess baggage charges will apply, according to the regulations stipulated on this page.\nPrices are displayed in US dollars. At some airports, payment is allowed only in local currency, according to the conversion rate on the date of payment.\nTransporting snowboards and ski equipment?\nIn addition to the equipment and baggage allowance permitted for each passenger, you may also bring ski and snowboard equipment at no extra charge (doesn't apply on LITE fare ticket), as long as it's packed into one checked bag that weighs up to 50 kg and its total measurements do not exceed 277 cm (length + height + width).\n\nIf your ski equipment exceeds the permitted dimensions, you’ll need to contact El Al’s Cargo Division (Tel: +972-3-977-1177).\n\nWhat does Ski and snowboards equipment include?\nSki equipment includes one pair of skis, one pair of poles and one pair of ski boots.\nSnowboard equipment includes one snowboard and one pair of ski boots.\nTransporting bicycles?\nYou can transport a bicycle at no extra charge instead of your regular checked baggage, as long as the bicycle is packed into a checked bag and meets the weight and/or size dimensions of your permitted baggage allowance (determined by the cabin class you’re flying in).\n\nPlease note\nMotorized bicycles cannot be transported! For exceptional cases, please contact our Cargo Division. Transport of bicycles is subject to El Al approval and depends on available space in the cargo hold.\n\nTransport of bicycles also requires pre-approval from the EL AL call center. You will be charged only after you arrive at the airport, providing your bicycle is packed according to the following regulations:\n\nRemove the pedals.\nDismantle the handlebar.\nLet out some air from the wheels and separate one wheel from the rest of the bicycle.\nMake sure to pack the bicycle in a box/special case, to protect it from damage and to prevent leakage of hydraulic fluid.\nPlease note\nThe information here applies to EL AL flights on EL AL aircrafts only. It does not apply to continuing flights or flights with other airlines.\nIt is the passenger's responsibility to stay updated and comply with the conditions and guidelines of the destination country. EL AL will not bear any responsibility if the destination country refuses to admit the passenger's equipment.\nPlease note that in accordance with transport conditions, EL AL does not bear responsibility for fragile\nOutput:"}, {"role": "assistant", "content": "**##**  \n<|COMPLETE|>"}]}

cache/claim_extraction/extract-continuation-0-chat-v2-3a18e2a1eb1640871dc25c0538615f91

@@ -0,0 +1 @@
+{"result": "I apologize for the oversight. Let's analyze the text again for potential entities and claims.\n\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\n\nText: How many checked bags can you bring? Flying with just one piece of checked baggage or do you need to check three? Whatever the circumstances, it is important to know how many pieces of baggage you can take and which types are allowed.\n\nFirst and foremost The checked baggage allowance depends primarily on your travel class and destination country. You can find the number and weight of the checked bags included in your ticket on the flight ticket and on the Manage Your Booking page on the website. You can easily add additional pieces of baggage up to three hours before the flight through the Manage Your Booking page. The baggage policy on scheduled Sundor flights is the same as El Al's baggage policy.\n\nOversized And Overweight Baggage What is oversized and overweight baggage? Any baggage that exceeds authorized dimensions in terms of shape, size, or weight. For example: oversized or overweight suitcases, backpacks, soft bags, and more.\n\nFlying with oversized and overweight baggage? After going through EL AL security pre-screening and check-in, passengers with baggage classified as oversized or overweight are required to take their baggage to the designated oversized/overweight baggage location. The process of checking in oversized and overweight baggage takes longer than standard baggage and may delay your arrival at the departure gate.\n\nTo expedite the baggage check-in process, it is recommended to travel with a standard hard or soft-sided baggage within the permitted dimensions and weight.\n\nEurope and Middle East Far East North America Economy class EL AL offers three types of tickets in economy class on flights to Europe and the Middle East.\n\nThe baggage allowance and weight limit depend on the ticket type: The baggage allowance varies depending on the service type: Lite, Classic, or Flex. With the Lite service, one piece of checked baggage (23 kg) requires pre-ordering, and the fee varies. Both the Classic and Flex services include one piece of checked baggage (23 kg) in the ticket price. For two to five additional pieces of checked baggage (23 kg each), pre-ordering is required for all three service types (Lite, Classic, and Flex), and the fee varies.\n\nImportant information The pre-order option is available up to three hours prior to departure. ​“The fee varies” – The price depends on a number of factors, such as the destination and date of the flight. When reserved at the airport, it costs $90 to check a piece of baggage not included in the ticket price. You can pay to check baggage on.\n\nNow, let's extract the entities and claims:\n\n1. **Entities Identified:**\n   - EL AL (organization)\n   - Sundor (organization)\n   - Europe (geo)\n   - Middle East (geo)\n   - North America (geo)\n   - Far East (geo)\n   - Economy class (event)\n   - Lite (event)\n   - Classic (event)\n   - Flex (event)\n\n2. **Claims Extracted:**\n   - (EL AL<|>NONE<|>BAGGAGE POLICY<|>TRUE<|>NONE<|>NONE<|>The baggage policy on scheduled Sundor flights is the same as El Al's baggage policy.<|>The baggage policy on scheduled Sundor flights is the same as El Al's baggage policy.)\n   - (EL AL<|>NONE<|>BAGGAGE ALLOWANCE<|>TRUE<|>NONE<|>NONE<|>The baggage allowance and weight limit depend on the ticket type: The baggage allowance varies depending on the service type: Lite, Classic, or Flex.<|>EL AL offers three types of tickets in economy class on flights to Europe and the Middle East.)\n   - (EL AL<|>NONE<|>BAGGAGE WEIGHT LIMIT<|>TRUE<|>NONE<|>NONE<|>With the Lite service, one piece of checked baggage (23 kg) requires pre-ordering, and the fee varies.<|>With the Lite service, one piece of checked baggage (23 kg) requires pre-ordering, and the fee varies.)\n   - (EL AL<|>NONE<|>BAGGAGE WEIGHT LIMIT<|>TRUE<|>NONE<|>NONE<|>Both the Classic and Flex services include one piece of checked baggage (23 kg) in the ticket price.<|>Both the Classic and Flex services include one piece of checked baggage (23 kg) in the ticket price.)\n   - (EL AL<|>NONE<|>ADDITIONAL BAGGAGE<|>TRUE<|>NONE<|>NONE<|>For two to five additional pieces of checked baggage (23 kg each), pre-ordering is required for all three service types (Lite, Classic, and Flex), and the fee varies.<|>For two to five additional pieces of checked baggage (23 kg each), pre-ordering is required for all three service types (Lite, Classic, and Flex), and the fee varies.)\n\nCombining these into the required format:\n\nOutput:\n(EL AL<|>NONE<|>BAGGAGE POLICY<|>TRUE<|>NONE<|>NONE<|>The baggage policy on scheduled Sundor flights is the same as El Al's baggage policy.<|>The baggage policy on scheduled Sundor flights is the same as El Al's baggage policy.)##\n(EL AL<|>NONE<|>BAGGAGE ALLOWANCE<|>TRUE<|>NONE<|>NONE<|>The baggage allowance and weight limit depend on the ticket type: The baggage allowance varies depending on the service type: Lite, Classic, or Flex.<|>EL AL offers three types of tickets in economy class on flights to Europe and the Middle East.)##\n(EL AL<|>NONE<|>BAGGAGE WEIGHT LIMIT<|>TRUE<|>NONE<|>NONE<|>With the Lite service, one piece of checked baggage (23 kg) requires pre-ordering, and the fee varies.<|>With the Lite service, one piece of checked baggage (23 kg) requires pre-ordering, and the fee varies.)##\n(EL AL<|>NONE<|>BAGGAGE WEIGHT LIMIT<|>TRUE<|>NONE<|>NONE<|>Both the Classic and Flex services include one piece of checked baggage (23 kg) in the ticket price.<|>Both the Classic and Flex services include one piece of checked baggage (23 kg) in the ticket price.)##\n(EL AL<|>NONE<|>ADDITIONAL BAGGAGE<|>TRUE<|>NONE<|>NONE<|>For two to five additional pieces of checked baggage (23 kg each), pre-ordering is required for all three service types (Lite, Classic, and Flex), and the fee varies.<|>For two to five additional pieces of checked baggage (23 kg each), pre-ordering is required for all three service types (Lite, Classic, and Flex), and the fee varies.)\n\n<|COMPLETE|>", "input": "MANY entities were missed in the last extraction.  Add them below using the same format:\n", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": [{"role": "user", "content": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText: How many checked bags can you bring?\nFlying with just one piece of checked baggage or do you need to check three? Whatever the circumstances, it is important to know how many pieces of baggage you can take and which types are allowed.\n\nFirst and foremost\nThe checked baggage allowance depends primarily on your travel class and destination country. You can find the number and weight of the checked bags included in your ticket on the flight ticket and on the Manage Your Booking page on the website.\nYou can easily add additional pieces of baggage up to three hours before the flight through the Manage Your Booking page.\nThe baggage policy on scheduled Sundor flights is the same as El Al's baggage policy.\n\nOversized And Overweight Baggage\nWhat is oversized and overweight baggage?\nAny baggage that exceeds authorized dimensions in terms of shape, size, or weight. For example: oversized or overweight suitcases, backpacks, soft bags, and more.\n\nFlying with oversized and overweight baggage?\nAfter going through EL AL security pre-screening and check-in, passengers with baggage classified as oversized or overweight are required to take their baggage to the designated oversized/overweight baggage location. The process of checking in oversized and overweight baggage takes longer than standard baggage and may delay your arrival at the departure gate.\n\nTo expedite the baggage check-in process, it is recommended to travel with a standard hard or soft-sided baggage within the permitted dimensions and weight.\n\n\n\nEurope and Middle East\nFar East\nNorth America\nEconomy class\nEL AL offers three types of tickets in economy class on flights to Europe and the Middle East.\n\nThe baggage allowance and weight limit depend on the ticket type:\nThe baggage allowance varies depending on the service type: Lite, Classic, or Flex. With the Lite service, one piece of checked baggage (23 kg) requires pre-ordering, and the fee varies. Both the Classic and Flex services include one piece of checked baggage (23 kg) in the ticket price. For two to five additional pieces of checked baggage (23 kg each), pre-ordering is required for all three service types (Lite, Classic, and Flex), and the fee varies.\n\nImportant information\nThe pre-order option is available up to three hours prior to departure.\n​“The fee varies” – The price depends on a number of factors, such as the destination and date of the flight.\nWhen reserved at the airport, it costs $90 to check a piece of baggage not included in the ticket price.\nYou can pay to check baggage on\nOutput:"}, {"role": "assistant", "content": "There are no entities that match the specified entity types (organization, person, geo, event) in the provided text. Additionally, there are no claims related to baggage measurements, weight limits, and restrictions that can be extracted from the text. \n\nTherefore, the output is empty.\n\n<|COMPLETE|>"}]}

cache/claim_extraction/extract-continuation-0-chat-v2-44a2a1cbc248baf452b6d367182fc710

@@ -0,0 +1 @@
+{"result": "**Output:**\n\n**NONE**\n\n<|COMPLETE|>", "input": "MANY entities were missed in the last extraction.  Add them below using the same format:\n", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": [{"role": "user", "content": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  by the Cargo Division.\n\nTransport costs as cargo:\nTransport costs depend on a number of factors. To clarify costs, please contact the Cargo Division at:\n+972-3-9716679\n\nCosts – What you need to know:\nThe cost of transporting a pet is based on the total weight of the animal, the carrying case, and the food.\nThe prices are valid for animals accompanying the passenger on the same flight.\nPayment is made at the airport after the animal is weighed.\nPayment for transporting pets is made separately; it is not included in the weight of the permitted baggage allowance.\nIf the flight ticket includes any connecting flights with other airlines, payment must be arranged with the other airline.\nThe costs are not applicable to codeshare flights, operated by other airlines.\nA passenger with an open ticket must pay for the outbound and return flight, even if the return date is unknown.\nGeneral guidelines for transporting animals\nOnly the following pets: Dogs, cats or exotic birds, can be transported in the passenger cabin, depending on their size and weight and the required permits.\nAnimals exhibiting clear and visible signs of illness and/or who are emitting a foul odor may not be approved to fly.\nPets who have been approved for transport must also be authorized by the relevant authorities at the intermediate or final destination.\nThe passenger is required to prepare the animal for the flight according to the recommendations of a veterinarian.\nEL AL will not be held responsible in the event an animal is denied transit or entry into another country.\nTransport cage guidelines\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nTransporting service dogs in the aircraft cabin\nService dogs that are accompanying:\n\nA passenger with special needs.\nAn I.D.F soldier / A person experiencing \"shell shock\" (Post-trauma caused by military service).\nMay be transported at no additional cost in the aircraft cabin, subject to the following terms and conditions:\n\nYou must hold an official document/License that states that your dog has been properly trained and is in active duty as your service dog from one of the certified organization for training service dogs (The Israel Service Dogs Training Center, The Israel Guide Dog Center for The Blind).\nIt is the sole responsibility of the passenger to ensure all documents and/or authorizations required by the destination country for the transport of a service dog have been completed. EL AL will bear no responsibility in this regard.\nThe passenger is required to update the Service Center regarding a flight with a service dog, no later than 48 hours prior to the flight date.\nThe passenger must provide a veterinary certificate\nOutput:"}, {"role": "assistant", "content": "**Output:**\n\n**NONE**\n\n<|COMPLETE|>"}]}

cache/claim_extraction/extract-continuation-0-chat-v2-4faaf73b799cf6040dc6128a237cb8a2

@@ -0,0 +1 @@
+{"result": "**Output:**\n\n(EL AL<|>NONE<|>BAGGAGE MEASUREMENTS AND RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>Battery-powered mobility aids must comply with the relevant IATA regulations for EL AL flights, and specific procedures must be followed to transport them.<|>For your convenience, you can view the Summary of Regulations.)\n##\n(EL AL<|>NONE<|>BAGGAGE MEASUREMENTS AND RESTRICTIONS<|>TRUE<|>NONE<|>NONE<|>Traveling with hazardous materials on EL AL flights requires prior contact with the service center and filling out a Declaration Form.<|>Are you planning to fly with dry ice? Contact the EL AL service center in advance to update the details of your flight.)\n\n<|COMPLETE|>", "input": "MANY entities were missed in the last extraction.  Add them below using the same format:\n", "parameters": {"model": "gpt-4o-mini", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 4000, "n": 1}, "history": [{"role": "user", "content": "\n-Target activity-\nYou are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.\n\n-Goal-\nGiven a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.\n\n-Steps-\n1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.\n2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.\nFor each claim, extract the following information:\n- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.\n- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.\n- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type\n- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.\n- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.\n- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.\n- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.\n\nFormat each claim as (<subject_entity><|><object_entity><|><claim_type><|><claim_status><|><claim_start_date><|><claim_end_date><|><claim_description><|><claim_source>)\n\n3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n-Examples-\nExample 1:\nEntity specification: organization\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n<|COMPLETE|>\n\nExample 2:\nEntity specification: Company A, Person C\nClaim description: red flags associated with an entity\nText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.\nOutput:\n\n(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)\n##\n(PERSON C<|>NONE<|>CORRUPTION<|>SUSPECTED<|>2015-01-01T00:00:00<|>2015-12-30T00:00:00<|>Person C was suspected of engaging in corruption activities in 2015<|>The company is owned by Person C who was suspected of engaging in corruption activities in 2015)\n<|COMPLETE|>\n\n-Real Data-\nUse the following input for your answer.\nEntity specification: ['organization', 'person', 'geo', 'event']\nClaim description: Extract baggage measurements, weight limits, and restrictions from airline documentation.\nText:  terminals of unpackaged batteries also helps to insulate them and prevent short circuit.\n\nBattery-powered wheelchairs/mobility aids on EL AL flights\nBattery-powered mobility aids must comply with the relevant IATA regulations. For your convenience, you can view the Summary of Regulations.\nIf your battery is on the list of batteries allowed on the aircraft and in order for EL AL to be prepared to transport the mobility aid, you must report, at least 14 days before the flight, that you intend to arrive at the flight with the mobility aid. You must send an email to [email protected] indicating the model of the wheelchair/scooter and battery as shown on the list.\nIf your battery does not appear on the list of flight-approved batteries, please fill out and submit a portable vehicle flight form. After filling out the form and sending it to [email protected], you will receive authorization to travel with your mobility aid within approximately 7 business days, depending on the urgency of your flight dates.\nTraveling with hazardous materials on EL AL flights\n\nAre you planning to fly with dry ice? Contact the EL AL service center in advance to update the details of your flight. Additionally, you will need to fill out a Declaration Form and bring it with you on the flight.\nOutput:"}, {"role": "assistant", "content": "**Output:**\n\n**NONE**\n\n<|COMPLETE|>"}]}