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.

Input: Consider Input: If you are looking for French food in riverside I would not suggest The Waterman.  They have low customer ratings.

Output: [['The Waterman', 'food', 'French'], ['The Waterman', 'customer rating', 'low'], ['The Waterman', 'area', 'riverside']]


Input: Consider Input: The is a cheap fast food restaurant named The Dumpling Tree.

Output: [['The Dumpling Tree', 'eatType', 'restaurant'], ['The Dumpling Tree', 'food', 'Fast food'], ['The Dumpling Tree', 'priceRange', 'cheap']]


Input: Consider Input: The Indian coffee shop near the Crowne Plaza Hotel is called Browns Cambridge. It has an average rating but its family friendly.


Output: [['Browns Cambridge', 'eatType', 'coffee shop'], ['Browns Cambridge', 'food', 'Indian'], ['Browns Cambridge', 'customer rating', 'average'], ['Browns Cambridge', 'familyFriendly', 'yes'], ['Browns Cambridge', 'near', 'Crowne Plaza Hotel']]