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.

Input: Consider Input: Mario Winans had one album released under Bad Boy Records

Output: [['Mario Winans', '#_ALBUMS_RELEASED_UNDER_BAD_BOY', '1'], ['Bad Boy Records', 'ACT', 'Mario Winans']]


Input: Consider Input: The Punter coffee shop and Indian food is high on price and average in customer Rating, children friendly near Café Sicilia.

Output: [['The Punter', 'eatType', 'coffee shop'], ['The Punter', 'food', 'Indian'], ['The Punter', 'priceRange', 'moderate'], ['The Punter', 'customer rating', 'average'], ['The Punter', 'familyFriendly', 'yes'], ['The Punter', 'near', 'Café Sicilia']]


Input: Consider Input: Browns Cambridge offers Japanese cuisine ranging above 30 euros. With a low customer rating to improve.


Output: [['Browns Cambridge', 'food', 'Japanese'], ['Browns Cambridge', 'customer rating', 'low']]