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.

Example 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.
Example 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']]

Example Input: The Wrestlers is a Chinese restaurant with a high price range and customer rating of 1 out of 5. Not kid friendly.
Example Output: [['The Wrestlers', 'eatType', 'restaurant'], ['The Wrestlers', 'food', 'Chinese'], ['The Wrestlers', 'priceRange', 'high'], ['The Wrestlers', 'customer rating', '1 out of 5'], ['The Wrestlers', 'familyFriendly', 'no']]

Example Input: The Waterman is located by the river. It serves food from a high price range to families.
Example Output:
[['The Waterman', 'priceRange', 'high'], ['The Waterman', 'area', 'riverside']]