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:
There's a cheap French pub, The Plough. It is near Café Rouge and is family friendly.

Ex Output:
[['The Plough', 'eatType', 'pub'], ['The Plough', 'food', 'French'], ['The Plough', 'priceRange', 'cheap'], ['The Plough', 'familyFriendly', 'yes'], ['The Plough', 'near', 'Café Rouge']]


Ex Input:
Cocum is a coffee shop which is kid friendly, has a average rating, is expensive, and serves Indian food.

Ex Output:
[['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Indian'], ['Cocum', 'priceRange', 'high'], ['Cocum', 'customer rating', 'average'], ['Cocum', 'familyFriendly', 'yes']]


Ex Input:
France came in first place at the 1994 Jeux de la Francophonie.

Ex Output:

[['1', 'COUNTRY', 'France']]