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 restaurant serving cheap Fast food in the area of riverside.  It has an average customer rating.
Example Output: [['The Phoenix', 'eatType', 'restaurant'], ['The Phoenix', 'food', 'Fast food'], ['The Phoenix', 'priceRange', 'cheap'], ['The Phoenix', 'customer rating', 'average'], ['The Phoenix', 'area', 'riverside']]

Example Input: Taymyr Autonomous Okrug had an average population in 1975 of 42, 857 live births and a natural change of 540.
Example Output: [['[TABLECONTEXT]', '[TITLE]', 'Taymyr Autonomous Okrug'], ['540', 'LIVE_BIRTHS', '857'], ['1975', 'NATURAL_CHANGE', '540'], ['[TABLECONTEXT]', 'YEAR', '1975'], ['1975', 'AVERAGE_POPULATION_(X_1000)', '42']]

Example Input: The episode on October 11, 2007 had a share of 11.
Example Output:
[['3', 'AIR_DATE', 'october 11, 2007'], ['3', 'SHARE', '11']]