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 sushi bar has low prices but is not suitable for a family.
Example Output: [['The Vaults', 'priceRange', 'less than £20']]

Example Input: Located near a ranch, Wildwood is a average customer rated coffee shop that serves Italian food.
Example Output:
[['Wildwood', 'eatType', 'coffee shop'], ['Wildwood', 'food', 'Italian'], ['Wildwood', 'customer rating', 'average'], ['Wildwood', 'near', 'Ranch']]