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 offers a higher-priced menu of English food in a child-friendly riverside setting. It was rated average by customers.
Example Output: [['The Waterman', 'food', 'English'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'yes']]

Example Input: 1634: The Bavarian Crisis is a hardcover publication written by Eric Flint.
Example Output: [['1634: The Bavarian Crisis', 'AUTHOR', 'Eric Flint'], ['1634: The Bavarian Crisis', 'MEDIA_TYPE', 'Hardcover']]

Example Input: The Eagle is a Japanese coffee shop on the riverside. It is near Burger King. It is not family-friendly. The customer rating is low and the price range is less than £20.
Example Output:
[['The Eagle', 'eatType', 'coffee shop'], ['The Eagle', 'food', 'Japanese'], ['The Eagle', 'priceRange', 'less than £20'], ['The Eagle', 'customer rating', 'low'], ['The Eagle', 'area', 'riverside'], ['The Eagle', 'familyFriendly', 'no'], ['The Eagle', 'near', 'Burger King']]