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: Welcome to the Green Man. We are not children friendly. Our food is English, and we are located on the riverside near the All Bar One. Our price  range is high.

Output: [['Green Man', 'food', 'English'], ['Green Man', 'area', 'riverside'], ['Green Man', 'familyFriendly', 'no'], ['Green Man', 'near', 'All Bar One']]


Input: Consider Input: Dominican Republic Province Espaillat has a population of 333,401,

Output: [['Espaillat', 'POPULATION', '333,401'], ['[TABLECONTEXT]', '[TITLE]', 'Provinces of the Dominican Republic'], ['[TABLECONTEXT]', 'PROVINCE', 'Espaillat']]


Input: Consider Input: The French restaurant, The Waterman, in the riverside area, is not family-friendly but has an average customer rating and offers prices less than 20.


Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'French'], ['The Waterman', 'priceRange', 'less than £20'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'no']]