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 provides Indian food in the £20-25 price range. It is located in the city centre. Its customer rating is high.
Example Output: [['The Waterman', 'food', 'Indian'], ['The Waterman', 'priceRange', '£20-25'], ['The Waterman', 'customer rating', 'high'], ['The Waterman', 'area', 'city centre']]

Example Input: The winning score of 67-67-69-69=272 had -8 to par.
Example Output: [['u.s. open', 'TO_PAR', '-8'], ['u.s. open', 'WINNING_SCORE', '67-67-69-69=272']]

Example Input: Daniel Tovar acted in the short film Yo Te Estaré Cuidando.
Example Output:
[['[TABLECONTEXT]', '[TITLE]', 'Daniel Tovar'], ['Yo Te Estaré Cuidando', 'FORMAT', 'Short Film'], ['[TABLECONTEXT]', 'TITLE', 'Yo Te Estaré Cuidando'], ['Yo Te Estaré Cuidando', 'ROL', 'Camilo']]