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: In the city centre is the English restaurant Alimentum. With a cheap price range and average customer rating, it is located near Yippee Noodle Bar.
Example Output: [['Alimentum', 'eatType', 'restaurant'], ['Alimentum', 'food', 'English'], ['Alimentum', 'priceRange', 'moderate'], ['Alimentum', 'customer rating', 'average'], ['Alimentum', 'area', 'city centre'], ['Alimentum', 'near', 'Yippee Noodle Bar']]

Example Input: The Wrestlers is an Indian restaurant  with a perfect customer rating. It offers cheap food but, is not family friendly.
Example Output: [['The Wrestlers', 'eatType', 'restaurant'], ['The Wrestlers', 'food', 'Indian'], ['The Wrestlers', 'priceRange', 'cheap'], ['The Wrestlers', 'familyFriendly', 'no']]

Example Input: Nepal came in second at the 1999 South Asian Games, with 65 total medals.
Example Output:
[['[TABLECONTEXT]', '[TITLE]', '1999 South Asian Games'], ['Nepal', 'RANK', '2'], ['[TABLECONTEXT]', 'COUNTRY', 'Nepal'], ['Nepal', 'TOTAL', '65']]