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: Zizzi, a cheap coffee shop along river side have good customer rating and family-friendly

Output: [['Zizzi', 'eatType', 'coffee shop'], ['Zizzi', 'priceRange', 'cheap'], ['Zizzi', 'customer rating', '3 out of 5'], ['Zizzi', 'familyFriendly', 'yes']]


Input: Consider Input: Midsummer House is a Japanese restaurant near the Café Rouge but it has a low customer rating.

Output: [['Midsummer House', 'eatType', 'restaurant'], ['Midsummer House', 'food', 'Japanese'], ['Midsummer House', 'customer rating', 'low'], ['Midsummer House', 'near', 'Café Rouge']]


Input: Consider Input: Quarterback Bart Tanski, from Bowling Green, won the Mr. Football Award in Ohio.


Output: [['Bart Tanski', 'POSITION', 'QB'], ['[TABLECONTEXT]', '[TITLE]', 'Mr. Football Award (Ohio)'], ['Bart Tanski', 'COLLEGE', 'Bowling Green'], ['[TABLECONTEXT]', 'PLAYER', 'Bart Tanski']]