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: Wildwood, an Indian pub with a more than 30 pound price range, has high customer ratings.
Example Output: [['Wildwood', 'eatType', 'pub'], ['Wildwood', 'food', 'Indian'], ['Wildwood', 'priceRange', 'more than £30'], ['Wildwood', 'customer rating', 'high']]

Example Input: The Golden Curry near Café Rouge is a fast food family-friendly has an average customer rating. It is in the city centre area.
Example Output: [['The Golden Curry', 'food', 'Fast food'], ['The Golden Curry', 'customer rating', 'average'], ['The Golden Curry', 'area', 'city centre'], ['The Golden Curry', 'familyFriendly', 'yes'], ['The Golden Curry', 'near', 'Café Rouge']]

Example Input: The Waterman provides Indian food in the high price range . It is located in the city centre.
Example Output:
[['The Waterman', 'food', 'Indian'], ['The Waterman', 'priceRange', 'high'], ['The Waterman', 'area', 'city centre']]