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 Waterman is a site for eat Italian food.
Example Output: [['The Waterman', 'food', 'Italian']]

Example Input: The # for the episode with a Production code of 3T7057 is 7.0.
Example Output: [['robbing hood', 'NUMBER', '7'], ['robbing hood', 'ORIGINAL_AIR_DATE', 'november26,2008'], ['robbing hood', 'DIRECTED_BY', 'paul shapiro'], ['robbing hood', 'NUMBER', '16'], ['robbing hood', 'PRODUCTION_CODE', '3t7057'], ['robbing hood', 'WRITTEN_BY', 'jim danger gray'], ['robbing hood', 'U.S._VIEWERS_(MILLION)', '4.45']]

Example Input: Lowly rated The Rice Boat is a family-friendly venue which offers Italian food at mid-range prices, it is situated in Luton near Express by Holiday Inn.
Example Output:
[['The Rice Boat', 'food', 'Italian'], ['The Rice Boat', 'priceRange', 'moderate'], ['The Rice Boat', 'customer rating', '1 out of 5'], ['The Rice Boat', 'familyFriendly', 'yes'], ['The Rice Boat', 'near', 'Express by Holiday Inn']]