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: The Waterman is an Indian restaurant in the riverside area in the £20-25 price range, that is kid friendly and has high customer ratings.
Example Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Indian'], ['The Waterman', 'priceRange', '£20-25'], ['The Waterman', 'customer rating', 'high'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'yes']]

Example Input: The manager of FC Magdeburg is Jens Härtel, who has represented the club FC Sachsen Leipzig.
Example Output: [['1. FC Magdeburg', 'MANAGER', 'Jens Härtel'], ['Jens Härtel', 'CLUB', 'FC Sachsen Leipzig']]

Example Input: Elliot See was born in Dallas and went to the University of Texas at Austin. Elliot was selected by NASA in 1962 and served as a test pilot before passing away in St Louis.
Example Output:
[['Elliot See', 'ALMA_MATER', 'University of Texas at Austin'], ['Elliot See', 'DEATH_PLACE', 'St. Louis'], ['Elliot See', 'BIRTH_PLACE', 'Dallas'], ['Elliot See', 'DATE_OF_DEATH', '"1966-02-28"'], ['Elliot See', 'OCCUPATION', 'Test pilot'], ['Elliot See', 'NATIONALITY', 'United States'], ['Elliot See', 'WAS_SELECTED_BY_NASA', '1962']]