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 Phoenix is a cheap, five star restaurant by the river.
Example Output: [['The Phoenix', 'eatType', 'restaurant'], ['The Phoenix', 'priceRange', 'cheap'], ['The Phoenix', 'customer rating', '5 out of 5'], ['The Phoenix', 'area', 'riverside']]

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: 1634: The Bavarian Crisis has 448 pages.
Example Output:
[['1634: The Bavarian Crisis', 'NUMBER_OF_PAGES', '"448"']]