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.

Input: Consider Input: 200 Public Square is located at Public Square, Cleveland.

Output: [['200 Public Square', 'LOCATION', 'Public Square, Cleveland']]


Input: Consider Input: Earl Watson had the high assists during a game at the Toyota Center with a crowd of 18,370.

Output: [['79', 'HIGH_ASSISTS', 'earl watson (8)'], ['79', 'ATTENDANCE', 'toyota center 18,370']]


Input: Consider Input: Browns Cambridge sits on the riverside, near the Crowne Plaza Hotel, and is a highly rated Italian style coffee shop.


Output: [['Browns Cambridge', 'eatType', 'coffee shop'], ['Browns Cambridge', 'food', 'Italian'], ['Browns Cambridge', 'customer rating', '5 out of 5'], ['Browns Cambridge', 'area', 'riverside'], ['Browns Cambridge', 'near', 'Crowne Plaza Hotel']]