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:
Cocum is a Japanese coffee shop that is non child friendly with a high price range and a customer rating of 3 out of 5.

Ex Output:
[['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Japanese'], ['Cocum', 'priceRange', 'high'], ['Cocum', 'customer rating', '3 out of 5'], ['Cocum', 'familyFriendly', 'no']]


Ex Input:
Blue Spice provides Indian food in the less than £20 price range. It is located in the riverside.

Ex Output:
[['Blue Spice', 'food', 'Indian'], ['Blue Spice', 'priceRange', 'less than £20'], ['Blue Spice', 'area', 'riverside']]


Ex Input:
In Indo, California, the average low for the year was 62.1 degrees F.

Ex Output:

[['[TABLECONTEXT]', '[TITLE]', 'Indio, California'], ['[TABLECONTEXT]', 'CLIMATE', 'Average low °F (°C)'], ['Average low °F (°C)', 'YEAR', '62.1 (16.7)']]