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:
Fitzbillies coffee Shop is a low-priced restaurant, near the River Cam in Cambridge, that serves seafood and sushi. It is not suitable for families with small children.

Ex Output:
[['Fitzbillies', 'eatType', 'restaurant'], ['Fitzbillies', 'priceRange', 'less than £20'], ['Fitzbillies', 'area', 'riverside'], ['Fitzbillies', 'familyFriendly', 'no']]


Ex Input:
Welcome to The Eagle. We a non family-friendly coffee shop our food is Italian we are near the Burger King we are at the riverside and our customer rating is low.

Ex Output:
[['The Eagle', 'eatType', 'coffee shop'], ['The Eagle', 'food', 'Italian'], ['The Eagle', 'customer rating', 'low'], ['The Eagle', 'area', 'riverside'], ['The Eagle', 'familyFriendly', 'no'], ['The Eagle', 'near', 'Burger King']]


Ex Input:
Earl Watson had the high assists during a game at the Toyota Center with a crowd of 18,370.

Ex Output:

[['79', 'HIGH_ASSISTS', 'earl watson (8)'], ['79', 'ATTENDANCE', 'toyota center 18,370']]