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 French restaurant near Rainbow Vegetarian Café. It has an average customer rating and is not family-friendly. Prices are less than 20 pounds.

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


Ex Input:
Editor of AIP Advances, A T Charlie Johnson, has Stanford University for an almaMater.

Ex Output:
[['AIP Advances', 'EDITOR', 'A.T. Charlie Johnson'], ['A.T. Charlie Johnson', 'ALMA_MATER', 'Stanford University']]


Ex Input:
Near the riverside, Aromi is a coffee shop that serves French food. Aromi is family friendly and has a customer rating of 1 out of 5.

Ex Output:

[['Aromi', 'eatType', 'coffee shop'], ['Aromi', 'food', 'French'], ['Aromi', 'customer rating', '1 out of 5'], ['Aromi', 'area', 'riverside'], ['Aromi', 'familyFriendly', 'yes']]