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 Dumpling Tree pub, located near The Portland Arms, is an Italian restaurant that is child friendly.
Example Output: [['The Dumpling Tree', 'eatType', 'restaurant'], ['The Dumpling Tree', 'food', 'Italian'], ['The Dumpling Tree', 'familyFriendly', 'yes'], ['The Dumpling Tree', 'near', 'The Portland Arms']]

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: There is a family Friendly place named Strada. It is a cheap place to get Fast food near Rainbow Vegetarian Café. The customer rating is a 5 out of 5.
Example Output:
[['Strada', 'food', 'Fast food'], ['Strada', 'priceRange', 'cheap'], ['Strada', 'customer rating', '5 out of 5'], ['Strada', 'familyFriendly', 'yes'], ['Strada', 'near', 'Rainbow Vegetarian Café']]