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: Cocum is a mid-range Indian restaurant and coffee shop. Rated 3 out of 5, no kids.
Example Output: [['Cocum', 'eatType', 'restaurant'], ['Cocum', 'food', 'Indian'], ['Cocum', 'customer rating', '3 out of 5'], ['Cocum', 'familyFriendly', 'no']]

Example Input: 668 units of a vehicle were produced in 1994–1998.
Example Output: [['2.8i v6 24v', 'PRODUCTION_PERIOD', '1994-1998'], ['2.8i v6 24v', 'UNITS_PRODUCED', '668']]

Example Input: The kidney bean is an ingredient in Bandeja paisa.
Example Output:
[['Bandeja paisa', 'INGREDIENT', 'Kidney bean']]