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: Wildwood is a pub offering cheap fast food with an average customer rating.
Example Output: [['Wildwood', 'eatType', 'pub'], ['Wildwood', 'food', 'Fast food'], ['Wildwood', 'priceRange', 'cheap'], ['Wildwood', 'customer rating', 'average']]

Example Input: The Waterman is a moderately priced Japanese restaurant located on the riverside. It is not kid friendly and has a low customer rating.
Example Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Japanese'], ['The Waterman', 'priceRange', 'moderate'], ['The Waterman', 'customer rating', '1 out of 5'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'no']]

Example Input: Brian Wallace's term ended on September 1994.
Example Output:
[['Brian Wallace', 'TO', 'Sep 1994']]