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 best bowling score when the average was 23.33 was 5/36.
Example Output: [['Bill Johnston', 'BEST_BOWLING', '5/36'], ['Bill Johnston', 'AVERAGE', '23.33']]

Example Input: The Waterman offers a higher-priced menu of English food in a child-friendly riverside setting. It was rated average by customers.
Example Output: [['The Waterman', 'food', 'English'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'yes']]

Example Input: Olympic snowboarder Danny Kass did not earn any gold medals in his career, but he did earn a total of 2 silver medals.
Example Output:
[['2', 'GOLD', '0'], ['[TABLECONTEXT]', '[TITLE]', 'List of Olympic medalists in snowboarding'], ['Danny Kass', 'TOTAL', '2'], ['[TABLECONTEXT]', 'ATHLETE', 'Danny Kass'], ['2', 'SILVER', '2']]