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:
Near Café Sicilia is the children friendly, fast food coffee shop The Punter, which has a 1 out of 5 customer rating and a high price range.

Ex Output:
[['The Punter', 'eatType', 'coffee shop'], ['The Punter', 'food', 'Fast food'], ['The Punter', 'priceRange', 'high'], ['The Punter', 'customer rating', '5 out of 5'], ['The Punter', 'familyFriendly', 'yes'], ['The Punter', 'near', 'Café Sicilia']]


Ex Input:
The Eagle is located in the city centre. It has a customer rating of 5 out of 5 and a price range of more than £30.

Ex Output:
[['The Eagle', 'priceRange', 'more than £30'], ['The Eagle', 'customer rating', '5 out of 5'], ['The Eagle', 'area', 'city centre']]


Ex Input:
Peter Stöger was at the club SK Rapid Wien.

Ex Output:

[['Peter Stöger', 'CLUB', 'SK Rapid Wien']]