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.

Ex Input:
A coffee shop in Riverside called The Golden Palace serves Indian food and  provides moderate pricing but has only a 1 out of 5 customer rating.

Ex Output:
[['The Golden Palace', 'eatType', 'coffee shop'], ['The Golden Palace', 'food', 'Indian'], ['The Golden Palace', 'customer rating', '1 out of 5'], ['The Golden Palace', 'area', 'riverside']]


Ex Input:
Eat in Browns Cambridge. French food for less than £20 but  has a low  customer rating

Ex Output:
[['Browns Cambridge', 'food', 'French'], ['Browns Cambridge', 'priceRange', 'less than £20'], ['Browns Cambridge', 'customer rating', 'low']]


Ex Input:
The Cocum has a perfect customer rating of 5 out of 5 for its cheap Indian food. The Cocum is a coffee shop which is not family friendly.

Ex Output:

[['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Indian'], ['Cocum', 'priceRange', 'cheap'], ['Cocum', 'customer rating', '5 out of 5'], ['Cocum', 'familyFriendly', 'no']]