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:
The Waterman serves French food and has an average customer rating.  its prices rang less than £20 and is family friendly.

Ex Output:
[['The Waterman', 'food', 'French'], ['The Waterman', 'priceRange', 'less than £20'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'familyFriendly', 'yes']]


Ex Input:
Jānis Daliņš belongs to Latvia.

Ex Output:
[['Jānis Daliņš', 'NATIONALITY', 'Latvia']]


Ex Input:
Cocum is a kid friendly coffee shop that offers Indian food with high customer ratings.  The price range is high.

Ex Output:

[['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Indian'], ['Cocum', 'priceRange', 'high'], ['Cocum', 'customer rating', '5 out of 5'], ['Cocum', 'familyFriendly', 'yes']]