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: While shopping at city centre enjoy lunch at The Phoenix.  This Indian cuisine boasts a 5 out of 5 customer rating. A must try.
Example Output: [['The Phoenix', 'food', 'Indian'], ['The Phoenix', 'customer rating', '5 out of 5'], ['The Phoenix', 'area', 'city centre']]

Example Input: The Waterman is a moderately priced Japanese restaurant located on the riverside. It is not kid friendly and has a low customer rating.
Example Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Japanese'], ['The Waterman', 'priceRange', 'moderate'], ['The Waterman', 'customer rating', '1 out of 5'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'no']]

Example Input: There were 996 births and 333 deaths in the Taymyr Autonomous Okrug in 1980.
Example Output:
[['[TABLECONTEXT]', '[TITLE]', 'Taymyr Autonomous Okrug'], ['1980', 'NATURAL_CHANGE', '663'], ['663', 'DEATHS', '333'], ['663', 'LIVE_BIRTHS', '996'], ['[TABLECONTEXT]', 'YEAR', '1980']]