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:
The Director of the Acharya Institute of Technology in Bangalore, Karnataka, India is Dr G P Prabhukumar.

Ex Output:
[['Acharya Institute of Technology', 'CITY', 'Bangalore'], ['Acharya Institute of Technology', 'DIRECTED_BY', '"Dr. G. P. Prabhukumar"'], ['Acharya Institute of Technology', 'COUNTRY', '"India"'], ['Acharya Institute of Technology', 'STATE', 'Karnataka']]


Ex Input:
The Mill is located near The Sorrento in the riverside area.  It offers moderately priced food and coffee.

Ex Output:
[['The Mill', 'eatType', 'coffee shop'], ['The Mill', 'priceRange', 'moderate'], ['The Mill', 'area', 'riverside'], ['The Mill', 'near', 'The Sorrento']]


Ex Input:
The Waterman is a moderately priced Japanese restaurant located on the riverside. It is not kid friendly and has a low customer rating.

Ex Output:

[['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Japanese'], ['The Waterman', 'priceRange', 'moderate'], ['The Waterman', 'customer rating', '1 out of 5'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'no']]


