This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.

Example Input: Susan Sloan was from Canada during the 1979 Pan American Games ranked 5th with a time of 1:03.52.
Example Output: [['Susan Sloan', 'NATIONALITY', 'Canada'], ['Susan Sloan', 'TIME', '1:03.52'], ['Susan Sloan', 'RANK', '5']]

Example Input: Bacon Explosion is served as a main course, it includes sausages and bacon.
Example Output: [['Bacon Explosion', 'INGREDIENT', 'Sausage'], ['Bacon Explosion', 'COURSE', '"Main course"'], ['Bacon Explosion', 'MAIN_INGREDIENTS', 'Bacon']]

Example Input: There is a poorly rated Japanese restaurant called Browns Cambridge. Their food is moderately expensive.
Example Output:

Show your work and conclude with the exact phrasing "Therefore, the final answer is [answer]." where [answer] is just the final number or expression that solves the problem.
user
[['Browns Cambridge', 'eatType', 'restaurant'], ['Browns Cambridge', 'food', 'Japanese'], ['Browns Cambridge', 'priceRange', 'more than £30'], ['Browns Cambridge', 'customer rating', '1 out of 5']]

