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: The Golden Curry provides fast food with low customer ratings. It is not family-friendly.
Example Output: [['The Golden Curry', 'food', 'Fast food'], ['The Golden Curry', 'customer rating', 'low'], ['The Golden Curry', 'familyFriendly', 'no']]

Example Input: The party of the first elected candidate in 1954 was democratic.
Example Output: [['Thomas L. Ashley', 'FIRST_ELECTED', '1954'], ['Thomas L. Ashley', 'PARTY', 'Democratic']]

Example Input: Nick Heidfeld for Williams-BMW finished with a 1 lap deficit behind the leader.
Example Output:
[['Nick Heidfeld', 'CONSTRUCTOR', 'Williams-BMW'], ['Nick Heidfeld', 'TIME/RETIRED', '+1 lap']]