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: Browns Cambridge is a low rating Fast food coffee shop in the riverside area near the Crown Plaza Hotel, the restaurant is family Friendly.
Example Output: [['Browns Cambridge', 'eatType', 'restaurant'], ['Browns Cambridge', 'food', 'Fast food'], ['Browns Cambridge', 'customer rating', 'low'], ['Browns Cambridge', 'area', 'riverside'], ['Browns Cambridge', 'familyFriendly', 'yes']]

Example Input: The Waterman it is a Chinese restaurant that offers food at a high price range. It is customer rating are 1 out of 5. Locate at City centre area, children are welcome.
Example Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Chinese'], ['The Waterman', 'priceRange', 'high'], ['The Waterman', 'customer rating', '1 out of 5'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'yes']]

Example Input: The B.P. of club Halifax was 3.0.
Example Output:
[['38', 'B.P.', '3'], ['Halifax', 'POINTS', '38']]