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:
Cotto is a coffee shop serving Italian food near The Portland Arms. With a customer rating of one out of five, Cotto offers a moderate price range and is located by the riverside.

Ex Output:
[['Cotto', 'eatType', 'coffee shop'], ['Cotto', 'food', 'Italian'], ['Cotto', 'priceRange', 'moderate'], ['Cotto', 'customer rating', '1 out of 5'], ['Cotto', 'area', 'riverside'], ['Cotto', 'near', 'The Portland Arms']]


Ex Input:
The Gwacheon International SF Festival will take place in Gwacheon, Gyeonggi-do in South Korea.

Ex Output:
[['Gwacheon International SF Festival', 'LOCATION', 'Gwacheon, Gyeonggi-do  South Korea']]


Ex Input:
American John T. Tate won the Abel Prize as a member of the University of Texas at Austin.

Ex Output:

[['2010', 'LAUREATE(S)', 'John T. Tate'], ['John T. Tate', 'INSTITUTION', 'University of Texas at Austin'], ['[TABLECONTEXT]', '[TITLE]', 'Abel Prize'], ['John T. Tate', 'CITIZENSHIP', 'American'], ['[TABLECONTEXT]', 'YEAR', '2010']]