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: Wildwood is a pub that serves Italian food.  It has a high customer rating and the price range is over L20.
Example Output: [['Wildwood', 'eatType', 'pub'], ['Wildwood', 'food', 'Italian'], ['Wildwood', 'customer rating', 'high']]

Example Input: The Vaults providing French Food, more than £30 price range.
Example Output: [['The Vaults', 'food', 'French'], ['The Vaults', 'priceRange', 'more than £30']]

Example Input: Acharya Institute of Technology of India has 10000 Undergraduate students.
Example Output:
[['Acharya Institute of Technology', 'NUMBER_OF_UNDERGRADUATE_STUDENTS', '10000'], ['Acharya Institute of Technology', 'COUNTRY', '"India"']]