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: John English was a defence player from Canada.

Output: [['John English', 'NATIONALITY', 'Canada'], ['48', 'PLAYER', 'John English'], ['Los Angeles Kings 1984-85 draft picks', 'PICK', '48'], ['John English', 'POSITION', 'Defence']]


Input: Consider Input: Fitzbillies is a Japanese coffee shop with a price range more than £30. It can be found in the cit centre, although it has a low customer rating. Yes, this coffee shop is child friendly.

Output: [['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'Japanese'], ['Fitzbillies', 'priceRange', 'more than £30'], ['Fitzbillies', 'customer rating', 'low'], ['Fitzbillies', 'familyFriendly', 'yes']]


Input: Consider Input: Coming in 12th position was a Yamaha motorcycle.


Output: [['Lucas Oliver Bulto', 'MANUFACTURER', 'Yamaha'], ['Lucas Oliver Bulto', 'POSITION', '12']]