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:
Strada is a restaurant near Rainbow Vegetarian Café that serves inexpensive Indian food. This restaurant is not family-friendly, and has received low ratings.

Ex Output:
[['Strada', 'eatType', 'restaurant'], ['Strada', 'food', 'Indian'], ['Strada', 'priceRange', 'less than £20'], ['Strada', 'customer rating', 'low'], ['Strada', 'familyFriendly', 'no'], ['Strada', 'near', 'Rainbow Vegetarian Café']]


Ex Input:
Bibimbap House is a fast food join in the city centre near The Rice Boat.

Ex Output:
[['Bibimbap House', 'food', 'Fast food'], ['Bibimbap House', 'area', 'city centre'], ['Bibimbap House', 'near', 'The Rice Boat']]


Ex Input:
The French restaurant Browns Cambridge is cheap and has a great customer rating of 5 out of 5.

Ex Output:

[['Browns Cambridge', 'eatType', 'restaurant'], ['Browns Cambridge', 'food', 'French'], ['Browns Cambridge', 'priceRange', 'cheap'], ['Browns Cambridge', 'customer rating', '5 out of 5']]