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 serves French food and has an average customer rating.  its prices rang less than £20 and is family friendly.
Example Output: [['The Waterman', 'food', 'French'], ['The Waterman', 'priceRange', 'less than £20'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'familyFriendly', 'yes']]

Example Input: For CSKA Moscow, Elivir contributed 1 other3 apps and 0 other3 goals.
Example Output: [['31', 'OTHER3_APPS', '1'], ['2003', 'TOTAL_APPS', '31'], ['[TABLECONTEXT]', '[TITLE]', 'Elvir Rahimić'], ['2003', 'TOTAL_GOALS', '1'], ['1', 'OTHER3_GOALS', '0'], ['2003', 'CLUB', 'CSKA Moscow'], ['[TABLECONTEXT]', 'SEASON', '2003']]

Example Input: The team record when the team played @ Utah was 5-0.
Example Output:
[['Win', 'RECORD', '5-0'], ['Oct. 14', 'OPPONENT', '@ Utah'], ['Oct. 14', 'RESULT', 'Win']]