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 is a coffee shop with low prices and a 5 out of 5 rating. It serves fast food and is not family-friendly.

Ex Output:
[['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'Fast food'], ['Fitzbillies', 'priceRange', 'cheap'], ['Fitzbillies', 'customer rating', '5 out of 5'], ['Fitzbillies', 'familyFriendly', 'no']]


Ex Input:
The winning score of 67-67-69-69=272 had -8 to par.

Ex Output:
[['u.s. open', 'TO_PAR', '-8'], ['u.s. open', 'WINNING_SCORE', '67-67-69-69=272']]


Ex Input:
The Waterman is located in the riverside area and serves Indian food for less than £20. It has a low customer rating and is not family friendly.

Ex Output:

[['The Waterman', 'food', 'Indian'], ['The Waterman', 'priceRange', 'less than £20'], ['The Waterman', 'customer rating', 'low'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'no']]