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: 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.

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']]


Input: Consider Input: Browns Cambridge is a adults only Indian coffee shop in the riverside area. Located near Crowne Plaza Hotel. The customer rating is low.

Output: [['Browns Cambridge', 'eatType', 'coffee shop'], ['Browns Cambridge', 'food', 'Indian'], ['Browns Cambridge', 'customer rating', 'low'], ['Browns Cambridge', 'area', 'riverside'], ['Browns Cambridge', 'familyFriendly', 'no'], ['Browns Cambridge', 'near', 'Crowne Plaza Hotel']]


Input: Consider Input: The score with partner Jim Pugh is 4 – 6, 6 – 2, 6–3.


Output: [['1990', 'SCORE', '4-6, 6-2, 6-3'], ['1990', 'PARTNER', 'jim pugh']]