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: At 159 meters above sea level, Angola International airport is located in Icolo e Bengo, in Angola.
Example Output: [['Angola International Airport', 'LOCATION', 'Ícolo e Bengo'], ['Ícolo e Bengo', 'COUNTRY', 'Angola'], ['Angola International Airport', 'ELEVATION', '159']]

Example Input: There is an Italian restaurant located in the city centre, with a high customer rating. It is called The Waterman and has a price range of £20-25 but it is not child-friendly.
Example Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Italian'], ['The Waterman', 'priceRange', '£20-25'], ['The Waterman', 'customer rating', 'high'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'no']]

Example Input: 2010 Formula BMW Europe season : Driver name is Dustin Sofyan, Rounds is 5
Example Output:
[['Dustin Sofyan', 'ROUNDS', '5']]