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.

Example Input: The Waterman is a fast food restaurant that is child friendly and has a high customer rating. It has expensive food and is in the city centre.
Example Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Fast food'], ['The Waterman', 'priceRange', 'more than £30'], ['The Waterman', 'customer rating', 'high'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'yes']]

Example Input: Browns Cambridge is a adults only Indian coffee shop in the riverside area. Located near Crowne Plaza Hotel. The customer rating is low.
Example Output: [['Browns Cambridge', 'eatType', 'coffee shop'], ['Browns Cambridge', 'food', 'Indian'], ['Browns Cambridge', 'customer rating', 'low'], ['Browns Cambridge', 'area', 'riverside'], ['Browns Cambridge', 'familyFriendly', 'no'], ['Browns Cambridge', 'near', 'Crowne Plaza Hotel']]

Example Input: Punia has three hundred villages and Luddi as its capital.
Example Output:
[['Punia', 'CAPITAL', 'Luddi'], ['Punia', 'NO._OF_VILLAGES', '300']]