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 area is The Waterman, which is not kid Friendly place but have a high customer rating. They serve Chinese food with a £20-25 price range.
Example Output: [['The Waterman', 'food', 'Chinese'], ['The Waterman', 'priceRange', '£20-25'], ['The Waterman', 'customer rating', 'high'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'no']]

Example Input: The Waterman is a fast food restaurant that is child friendly and has a high customer rating. It has expensive food and is in the city centre.
Example Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Fast food'], ['The Waterman', 'priceRange', 'more than £30'], ['The Waterman', 'customer rating', 'high'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'yes']]

Example Input: Italian food offered at The Golden Curry. Family friendly with an average customer rating.
Example Output:
[['The Golden Curry', 'food', 'Italian'], ['The Golden Curry', 'customer rating', 'average'], ['The Golden Curry', 'familyFriendly', 'yes']]