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:
The Punter coffee shop and Indian food is high on price and average in customer Rating, children friendly near Café Sicilia.

Ex Output:
[['The Punter', 'eatType', 'coffee shop'], ['The Punter', 'food', 'Indian'], ['The Punter', 'priceRange', 'moderate'], ['The Punter', 'customer rating', 'average'], ['The Punter', 'familyFriendly', 'yes'], ['The Punter', 'near', 'Café Sicilia']]


Ex Input:
A French coffee shop with 3 out of 5 ratings is Clowns near Clare Hall in the riverside area.

Ex Output:

[['Clowns', 'eatType', 'coffee shop'], ['Clowns', 'food', 'French'], ['Clowns', 'customer rating', '3 out of 5'], ['Clowns', 'area', 'riverside'], ['Clowns', 'near', 'Clare Hall']]