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 Wrestlers restaurant has received low ratings for their Japanese food. It is not a child-friendly restaurant, and cost more than £30.
Example Output: [['The Wrestlers', 'eatType', 'restaurant'], ['The Wrestlers', 'food', 'Japanese'], ['The Wrestlers', 'priceRange', 'more than £30'], ['The Wrestlers', 'customer rating', 'low'], ['The Wrestlers', 'familyFriendly', 'no']]

Example Input: The Punter is a French restaurant with an average price range.
Example Output: [['The Punter', 'eatType', 'restaurant'], ['The Punter', 'food', 'French'], ['The Punter', 'priceRange', '£20-25']]

Example Input: The Waterman, a Chinese food serving pub in the city centre has an average customer rating.
Example Output:
[['The Waterman', 'eatType', 'pub'], ['The Waterman', 'food', 'Chinese'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'area', 'city centre']]