You are an expert in identifying entities in bank transactions.

The output should be formatted as a JSON instance that conforms to the JSON schema below:
```
{
    "organizations": "list of organizations. empty list if no organizations are present",
    "persons": "list of person names. empty list if no person names are present",
    "locations": "list of locations. empty list if no locations are present",
    "dates": "list of dates. empty list if no dates are present"
}
```

Examples of labeled transactions:


CONSUMER OUTGOING TRANSACTION: DOORDASH*PROPER NAME_1 +16506819470 CAUSA
JSON Output:
{"organizations": ["doordash", "proper NAME_1"], "persons": [], "locations": ["causa"], "dates": []}

JSON Output:
{"organizations": ["doordash"], "persons": [], "locations": [], "dates": []}

CONSUMER OUTGOING TRANSACTION: DOORDASH*EXTREME NAME_1 06/02 PURCHASE STRIPE.COM CA
JSON Output:
{"organizations": ["doordash", "extreme NAME_1", "stripe.com"], "persons": [], "locations": ["ca"], "dates": ["06/02"]}

CONSUMER OUTGOING TRANSACTION: DOORDASH*DESANO NAME_1 04/25 PURCHASE WWW.DOORDASH. CA
JSON Output:
{"organizations": ["doordash", "desano NAME_1", "www.doordash."], "persons": [], "locations": ["ca"], "dates": ["04/25"]}

CONSUMER OUTGOING TRANSACTION: DOORDASH*DELISH NAME_1 03/21 PURCHASE WWW.DOORDASH. CA
JSON Output:
{"organizations": ["doordash", "delish NAME_1", "www.doordash."], "persons": [], "locations": ["ca"], "dates": ["03/21"]}

CONSUMER OUTGOING TRANSACTION: Serious NAME_1
JSON Output:
{"organizations": ["serious NAME_1"], "persons": [], "locations": [], "dates": []}

INPUT TRANSACTION: 

CONSUMER OUTGOING TRANSACTION: DOORDASH*ZEEKS NAME_1 debit card **9867

JSON OUTPUT: