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 55 kg participant raced on 29 December, 2004.
Example Output: [['3yo Hcp Restricted Maiden', 'DATE', '29 Dec 2004'], ['3yo Hcp Restricted Maiden', 'WEIGHT_(KG)', '55']]

Example Input: Browns Cambridge is a well priced and highly rated Chinese restaurant.
Example Output:
[['Browns Cambridge', 'eatType', 'restaurant'], ['Browns Cambridge', 'food', 'Chinese'], ['Browns Cambridge', 'customer rating', 'high']]