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: There is a Japanese coffee shop in riverside near Clare Hall called Clowns.  Clowns has a 3 out of 5 customer rating.

Output: [['Clowns', 'eatType', 'coffee shop'], ['Clowns', 'food', 'Japanese'], ['Clowns', 'customer rating', '3 out of 5'], ['Clowns', 'area', 'riverside'], ['Clowns', 'near', 'Clare Hall']]


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

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


Input: Consider Input: Green Man is kid friendly Japanese near All Bar One in riverside with a moderate price range.


Output: [['Green Man', 'food', 'Japanese'], ['Green Man', 'priceRange', 'moderate'], ['Green Man', 'area', 'riverside'], ['Green Man', 'familyFriendly', 'yes'], ['Green Man', 'near', 'All Bar One']]