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.

Input: Consider Input: The Acharya Institute of Techology in Karnataka, Bangalore, India was established in 2000. It is affiliated to the Visvesvaraya Technological University.

Output: [['Acharya Institute of Technology', 'CITY', 'Bangalore'], ['Acharya Institute of Technology', 'ESTABLISHED', '2000'], ['Acharya Institute of Technology', 'COUNTRY', '"India"'], ['Acharya Institute of Technology', 'STATE', 'Karnataka'], ['Acharya Institute of Technology', 'AFFILIATION', 'Visvesvaraya Technological University']]


Input: Consider Input: Cotto serves Chinese food near Café Rouge.

Output: [['Cotto', 'food', 'Chinese'], ['Cotto', 'near', 'Café Rouge']]


Input: Consider Input: Chinese restaurant, The Waterman ,in the City Centre,  has an average customer rating, with a high price range. Child-friendly.


Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Chinese'], ['The Waterman', 'priceRange', 'high'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'yes']]