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: Cocum is a coffee shop which offers Japanese food without a children friendly atmosphere with a high price range. It has a customer rating of 3 out of 5.

Output: [['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Japanese'], ['Cocum', 'priceRange', 'high'], ['Cocum', 'customer rating', '3 out of 5'], ['Cocum', 'familyFriendly', 'yes']]


Input: Consider Input: At 159 meters above sea level, Angola International airport is located in Icolo e Bengo, in Angola.

Output: [['Angola International Airport', 'LOCATION', 'Ícolo e Bengo'], ['Ícolo e Bengo', 'COUNTRY', 'Angola'], ['Angola International Airport', 'ELEVATION', '159']]


Input: Consider Input: There is an establishment serving moderately priced English food Bibimbap House, on the riverside near Clare Hall.


Output: [['Bibimbap House', 'food', 'English'], ['Bibimbap House', 'priceRange', 'moderate'], ['Bibimbap House', 'area', 'riverside'], ['Bibimbap House', 'near', 'Clare Hall']]