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:
There is a Japanese coffee shop called 'The Eagle' which has a cheap price range.  It is located in the riverside area near Burger King and has a 5 out of 5 rating.

Ex Output:
[['The Eagle', 'eatType', 'coffee shop'], ['The Eagle', 'food', 'Japanese'], ['The Eagle', 'priceRange', 'cheap'], ['The Eagle', 'customer rating', '5 out of 5'], ['The Eagle', 'area', 'riverside'], ['The Eagle', 'near', 'Burger King']]


Ex Input:
4th Pride of Britain Awards had an audience of 6.06 million viewers.

Ex Output:
[['4th Pride of Britain Awards', 'VIEWERS_(MILLIONS)', '6.06']]


Ex Input:
The company which ranked 14th made $296,000,000 in 2009

Ex Output:

[['Manitou', 'WORLD_HEADQUARTERS', 'Ancenis'], ['Manitou', 'RANK', '14'], ['Manitou', 'NORTH_AMERICAN_BRANDS', 'Manitou'], ['Manitou', '2008_RANK', '13'], ['Manitou', 'COUNTRY', 'France'], ['Manitou', '2009_REVENUE', '$296,000,000']]