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:
David Raine was previously in Doncaster Rovers club.

Ex Output:
[['David Raine', 'PREVIOUS_CLUB', 'Doncaster Rovers']]


Ex Input:
The Soviet Union won Shooting at the 1988 Summer Olympics with 11 medals.

Ex Output:
[['Soviet Union (URS)', 'TOTAL', '11'], ['[TABLECONTEXT]', 'RANK', '1'], ['1', 'COUNTRY', 'Soviet Union (URS)'], ['[TABLECONTEXT]', '[TITLE]', 'Shooting at the 1988 Summer Olympics']]


Ex Input:
yes it loves to have children. serving Japanese food, called The Eagle, although has a low customer review, situated close to Burger King near the city centre is a coffee shop but quite expensive at more than £30,

Ex Output:

[['The Eagle', 'eatType', 'coffee shop'], ['The Eagle', 'food', 'Japanese'], ['The Eagle', 'priceRange', 'more than £30'], ['The Eagle', 'customer rating', 'low'], ['The Eagle', 'area', 'city centre'], ['The Eagle', 'near', 'Burger King']]