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 and Indian restaurant near the Rainbow Vegetarian Café with a moderate price range. It has a customer rating of 1 out of 5 and if kid friendly.

Ex Output:
[['Strada', 'eatType', 'restaurant'], ['Strada', 'food', 'Indian'], ['Strada', 'priceRange', 'moderate'], ['Strada', 'customer rating', '1 out of 5'], ['Strada', 'familyFriendly', 'yes'], ['Strada', 'near', 'Rainbow Vegetarian Café']]


Ex Input:
Cocum is a coffee shop that is child-friendly and offers moderately priced fast food. Its customer rating is 1 out of 5.

Ex Output:
[['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Fast food'], ['Cocum', 'priceRange', 'moderate'], ['Cocum', 'customer rating', '1 out of 5'], ['Cocum', 'familyFriendly', 'yes']]


Ex Input:
family-friendly, fast food, coffee shop in the city centre called Aromi. Customers have rated it average.

Ex Output:

[['Aromi', 'eatType', 'coffee shop'], ['Aromi', 'food', 'Fast food'], ['Aromi', 'customer rating', 'average'], ['Aromi', 'area', 'city centre'], ['Aromi', 'familyFriendly', 'yes']]