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 Waterman is a French restaurant located near the riverside, it has a price range of £20-£25 and a customer rating of 3 out of 5. This isn't a kid friendly restaurant.
Example Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'French'], ['The Waterman', 'customer rating', '3 out of 5'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'no']]

Example Input: Cocum is a coffee shop that is child-friendly and offers moderately priced fast food. Its customer rating is 1 out of 5.
Example Output: [['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Fast food'], ['Cocum', 'priceRange', 'moderate'], ['Cocum', 'customer rating', '1 out of 5'], ['Cocum', 'familyFriendly', 'yes']]

Example Input: In 1999 election, the Number of popular votes is 271,251 which is 33.45 percentage, and the Total elected seats is 122 / 390
Example Output:
[['1999', '%_OF_POPULAR_VOTES', '33.45'], ['1999', 'TOTAL_ELECTED_SEATS', '122 / 390'], ['1999', 'NUMBER_OF_POPULAR_VOTES', '271,251']]