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:
Alan Shepard was born in New Hampshire and obtained a MA in 1957 from NWC. he was selected by NASA in 1959 and became a test pilot.

Ex Output:
[['Alan Shepard', 'ALMA_MATER', '"NWC, M.A. 1957"'], ['Alan Shepard', 'OCCUPATION', 'Test pilot'], ['Alan Shepard', 'BIRTH_PLACE', 'New Hampshire'], ['Alan Shepard', 'WAS_SELECTED_BY_NASA', '1959']]


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']]


Ex Input:
Welcome to the Green Man. We are not children friendly. Our food is English, and we are located on the riverside near the All Bar One. Our price  range is high.

Ex Output:

[['Green Man', 'food', 'English'], ['Green Man', 'area', 'riverside'], ['Green Man', 'familyFriendly', 'no'], ['Green Man', 'near', 'All Bar One']]