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 Golden Curry near Café Rouge is a fast food family-friendly has an average customer rating. It is in the city centre area.
Example Output: [['The Golden Curry', 'food', 'Fast food'], ['The Golden Curry', 'customer rating', 'average'], ['The Golden Curry', 'area', 'city centre'], ['The Golden Curry', 'familyFriendly', 'yes'], ['The Golden Curry', 'near', 'Café Rouge']]

Example Input: During the 1999-00 season FC Bayern Munich II earned 5th place in the  Regionalliga Sud, the third tier of the German football league system at the time.
Example Output: [['1999-00', 'DIVISION', 'Regionalliga Sud'], ['[TABLECONTEXT]', '[TITLE]', 'FC Bayern Munich II'], ['DNQ', 'POSITION', '5'], ['[TABLECONTEXT]', 'SEASON', '1999-00'], ['1999-00', 'CUP', 'DNQ'], ['Regionalliga Sud', 'TIER', 'III']]

Example Input: Matthew Morrison played himself in Bob Rizzo's Simply Funk.
Example Output:
[["Bob Rizzo's Simply Funk with Suzanne", 'ROLE', '[himself]'], ['[TABLECONTEXT]', 'TITLE', "Bob Rizzo's Simply Funk with Suzanne"], ['[TABLECONTEXT]', '[TITLE]', 'Matthew Morrison']]