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:
Welcome to The Waterman. We serve Italian food we are located  in the city centre  our price rang is high we are not kid friendly and our customer rating is average.

Ex Output:
[['The Waterman', 'food', 'Italian'], ['The Waterman', 'priceRange', 'high'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'no']]


Ex Input:
At 159 meters above sea level, Angola International airport is located in Icolo e Bengo, in Angola.

Ex Output:
[['Angola International Airport', 'LOCATION', 'Ícolo e Bengo'], ['Ícolo e Bengo', 'COUNTRY', 'Angola'], ['Angola International Airport', 'ELEVATION', '159']]


Ex Input:
The '89 U12 Bluebird Ltd has a Redtop engine, 8.5:1 compression, and 150 kW (201 hp) @ 6000 rpm.

Ex Output:

[['89 U12 Bluebird Ltd', 'ENGINE', 'Redtop'], ['Redtop', 'POWER', '150 kW (201 hp) @ 6000 rpm'], ['[TABLECONTEXT]', '[TITLE]', 'Nissan SR20DET'], ['Redtop', 'COMPRESSION', '8.5:1'], ['[TABLECONTEXT]', 'CAR', '89 U12 Bluebird Ltd']]