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: High assists belonging to Carmelo Anthony (11) have a record of 33–16.
Example Output: [['49', 'HIGH_ASSISTS', 'carmelo anthony (11)'], ['49', 'RECORD', '33-16']]

Example Input: Al jefferson (9 had all the high rebounds when kevin love (20) scored the highest points.
Example Output: [['5', 'HIGH_REBOUNDS', 'al jefferson (9)'], ['5', 'HIGH_POINTS', 'kevin love (20)']]

Example Input: Strada is a family friendly French place with high ratings and cheap prices near Rainbow Vegetarian Café.
Example Output:
[['Strada', 'food', 'French'], ['Strada', 'priceRange', 'cheap'], ['Strada', 'customer rating', '5 out of 5'], ['Strada', 'familyFriendly', 'yes'], ['Strada', 'near', 'Rainbow Vegetarian Café']]