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 adults only Indian coffee shop in the riverside area. Located near Crowne Plaza Hotel. The customer rating is low.
Example Output: [['Browns Cambridge', 'eatType', 'coffee shop'], ['Browns Cambridge', 'food', 'Indian'], ['Browns Cambridge', 'customer rating', 'low'], ['Browns Cambridge', 'area', 'riverside'], ['Browns Cambridge', 'familyFriendly', 'no'], ['Browns Cambridge', 'near', 'Crowne Plaza Hotel']]

Example Input: The Waterman serves French food and has an average customer rating.  its prices rang less than £20 and is family friendly.
Example Output: [['The Waterman', 'food', 'French'], ['The Waterman', 'priceRange', 'less than £20'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'familyFriendly', 'yes']]

Example Input: The Waterman is a Chinese restaurant with average customer rating located in the riverside area which has high price range and it's children friendly.
Example Output:
[['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Chinese'], ['The Waterman', 'priceRange', 'high'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'yes']]