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:
Paulo Sousa played for Juventus FC.

Ex Output:
[['Paulo Sousa', 'CLUB', 'Juventus F.C.']]


Ex Input:
Browns Cambridge provides Chinese food in the moderate price range. Its customer rating is 3 out of 5.

Ex Output:
[['Browns Cambridge', 'food', 'Chinese'], ['Browns Cambridge', 'priceRange', 'moderate'], ['Browns Cambridge', 'customer rating', '3 out of 5']]


Ex Input:
Located in riverside near Crowne Plaza Hotel, Browns Cambridge is an Indian restaurant and coffee shop in the average price range. It receives average ratings from customers and is not family-friendly.

Ex Output:

[['Browns Cambridge', 'eatType', 'restaurant'], ['Browns Cambridge', 'food', 'Indian'], ['Browns Cambridge', 'priceRange', 'moderate'], ['Browns Cambridge', 'customer rating', 'average'], ['Browns Cambridge', 'area', 'riverside'], ['Browns Cambridge', 'familyFriendly', 'no'], ['Browns Cambridge', 'near', 'Crowne Plaza Hotel']]