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.

Ex Input:
Italian The Golden Curry is near Café Rouge.  It is kids friendly.  Customer rating is high.

Ex Output:
[['The Golden Curry', 'food', 'Italian'], ['The Golden Curry', 'customer rating', 'high'], ['The Golden Curry', 'familyFriendly', 'yes'], ['The Golden Curry', 'near', 'Café Rouge']]


Ex Input:
Stacey Poon-Kinney, 34, cooks food that can be described as vintage with a modern twist.

Ex Output:
[['Stacey Poon-Kinney', 'AGE', '34'], ['Stacey Poon-Kinney', 'CULINARY_P.O.V.', 'Vintage with a Modern Twist']]


Ex Input:
Ram Naik is the leader of Uttar Pradesh, part of Awadh and Bundelkhand, where Agra Airport with the IATA ID of AGR is located.

Ex Output:

[['Agra Airport', 'IATA_LOCATION_IDENTIFIER', '"AGR"'], ['Agra Airport', 'LOCATION', 'Uttar Pradesh'], ['Uttar Pradesh', 'IS_PART_OF', 'Awadh'], ['Uttar Pradesh', 'LEADER_NAME', 'Ram Naik'], ['Uttar Pradesh', 'IS_PART_OF', 'Bundelkhand']]