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: The Golden Curry offers Indian food, with a Rating of 5 out of 5 located in the riverside area. It is family Friendly, located near Café Rouge.

Output: [['The Golden Curry', 'food', 'Indian'], ['The Golden Curry', 'customer rating', '5 out of 5'], ['The Golden Curry', 'area', 'riverside'], ['The Golden Curry', 'familyFriendly', 'yes'], ['The Golden Curry', 'near', 'Café Rouge']]


Input: Consider Input: The Punter is a 5 star Japanese food and coffee shop located near Café Sicilia. It is not child-friendly and slightly more expensive other local places.

Output: [['The Punter', 'eatType', 'coffee shop'], ['The Punter', 'food', 'Japanese'], ['The Punter', 'priceRange', 'more than £30'], ['The Punter', 'customer rating', '5 out of 5'], ['The Punter', 'familyFriendly', 'no'], ['The Punter', 'near', 'Café Sicilia']]


Input: Consider Input: Grissom took pole position once and started at 22 on average in 1998.


Output: [['[TABLECONTEXT]', 'YEAR', '1998'], ['1998', 'AVG._START', '22.0'], ['[TABLECONTEXT]', '[TITLE]', 'Steve Grissom'], ['1998', 'POLES', '1']]