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: Cocum is a family friendly restaurant that is rated 5 out of 5 by customers.  They serve cheap pub food.
Example Output: [['Cocum', 'eatType', 'restaurant'], ['Cocum', 'priceRange', 'cheap'], ['Cocum', 'customer rating', '5 out of 5'], ['Cocum', 'familyFriendly', 'yes']]

Example Input: Michael Shaver's position was fb.
Example Output: [['Winnipeg Blue Bombers', 'POSITION', 'FB'], ['Winnipeg Blue Bombers', 'PLAYER', 'Michael Shaver']]

Example Input: Beef kway teow is found in the countries of Indonesia and Singapore.
Example Output:
[['Beef kway teow', 'COUNTRY', '"Singapore and Indonesia"']]