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 serves English food and has a moderate price range. It is kid friendly. The customer Rating is 1 out of 5.
Example Output: [['The Waterman', 'food', 'English'], ['The Waterman', 'priceRange', 'moderate'], ['The Waterman', 'customer rating', '1 out of 5'], ['The Waterman', 'familyFriendly', 'yes']]

Example Input: The Mill is located near The Sorrento in the riverside area.  It offers moderately priced food and coffee.
Example Output: [['The Mill', 'eatType', 'coffee shop'], ['The Mill', 'priceRange', 'moderate'], ['The Mill', 'area', 'riverside'], ['The Mill', 'near', 'The Sorrento']]

Example Input: Browns Cambridge is a restaurant with a high price range. Customer rating is average.
Example Output:
[['Browns Cambridge', 'eatType', 'restaurant'], ['Browns Cambridge', 'priceRange', 'high'], ['Browns Cambridge', 'customer rating', 'average']]