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.

Input: Consider Input: Kate Woods direct Without A Trace in 13.0.

Output: [['rage', 'DIRECTED_BY', 'kate woods'], ['rage', 'SEASON_#', '13'], ['rage', 'SERIES_NUMBER', '83'], ['rage', 'ORIGINAL_AIR_DATE', 'january26,2006'], ['rage', 'WRITTEN_BY', 'scott a. williams'], ['rage', 'U.S._VIEWERS_(MILLIONS)', '22.30']]


Input: Consider Input: The winning score of 67-67-69-69=272 had -8 to par.

Output: [['u.s. open', 'TO_PAR', '-8'], ['u.s. open', 'WINNING_SCORE', '67-67-69-69=272']]


Input: Consider Input: Near the Rainbow Vegetarian Café is a kid friendly restaurant known as Strada. It has a customer rating of 1 out of 5 and has a moderate price range.


Output: [['Strada', 'eatType', 'restaurant'], ['Strada', 'priceRange', 'moderate'], ['Strada', 'customer rating', '1 out of 5'], ['Strada', 'familyFriendly', 'yes'], ['Strada', 'near', 'Rainbow Vegetarian Café']]