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: Cocum is a coffee shop serving high quality Italian food that is low priced and family friendly.

Output: [['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Italian'], ['Cocum', 'priceRange', 'cheap'], ['Cocum', 'customer rating', '5 out of 5'], ['Cocum', 'familyFriendly', 'yes']]


Input: Consider Input: Strada is a restaurant near Rainbow Vegetarian Café that serves inexpensive Indian food. This restaurant is not family-friendly, and has received low ratings.

Output: [['Strada', 'eatType', 'restaurant'], ['Strada', 'food', 'Indian'], ['Strada', 'priceRange', 'less than £20'], ['Strada', 'customer rating', 'low'], ['Strada', 'familyFriendly', 'no'], ['Strada', 'near', 'Rainbow Vegetarian Café']]


Input: Consider Input: There is a high price Range children Friendly restaurant called The Vaults.


Output: [['The Vaults', 'eatType', 'restaurant'], ['The Vaults', 'priceRange', 'high'], ['The Vaults', 'familyFriendly', 'yes']]