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: no 4 Driver Juan Pablo Montoya* has Time/Retired +1 Lap and Grid is 5
Example Output: [['Juan Pablo Montoya*', 'GRID', '5'], ['Juan Pablo Montoya*', 'TIME/RETIRED', '+1 Lap'], ['Juan Pablo Montoya*', 'NUMBER', '4']]

Example Input: The 1943-44 Chicago Blackhawks beat the Toronto Maple Leafs 4-1 during their 6th game, leaving them with 6 points and a 3-3-0 record.
Example Output: [['6', 'VISITOR', 'Chicago Black Hawks'], ['[TABLECONTEXT]', '[TITLE]', '1943-44 Chicago Black Hawks season'], ['[TABLECONTEXT]', 'NUMBER', '6'], ['6', 'RECORD', '3-3-0'], ['6', 'POINTS', '6']]

Example Input: There is a children friendly restaurant The Waterman located in the city center that provides average Fast food in the high price range.
Example Output:
[['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Fast food'], ['The Waterman', 'priceRange', 'high'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'yes']]