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 located in city centre with a 5 out of 5 rating and low prices.
Example Output: [['The Waterman', 'priceRange', 'cheap'], ['The Waterman', 'customer rating', '5 out of 5'], ['The Waterman', 'area', 'city centre']]

Example Input: The Vaults is a family friendly eatery on the high price end.
Example Output: [['The Vaults', 'priceRange', 'more than £30'], ['The Vaults', 'familyFriendly', 'yes']]

Example Input: There is an average rated Burger King located on the riverside that provides coffee shop type food.  Next door is a high priced Italian eater named The Eagle.
Example Output:
[['The Eagle', 'eatType', 'coffee shop'], ['The Eagle', 'food', 'Italian'], ['The Eagle', 'priceRange', 'high'], ['The Eagle', 'customer rating', 'average'], ['The Eagle', 'area', 'riverside'], ['The Eagle', 'near', 'Burger King']]