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: Christopher chulack directed the episode that has 3x6752 listed as the production code.
Example Output: [['punching water', 'PRODUCTION_CODE', '3x6752'], ['punching water', 'DIRECTED_BY', 'christopher chulack']]

Example Input: Jim Les from is the United States.
Example Output: [['Jim Les', 'NATIONALITY', 'United States']]

Example Input: With a high price range and low customer rating of 1 out of 5 the Wildwood coffee shop is located near Ranch and provides fast-food.
Example Output:
[['Wildwood', 'eatType', 'coffee shop'], ['Wildwood', 'priceRange', 'high'], ['Wildwood', 'customer rating', '1 out of 5'], ['Wildwood', 'near', 'Ranch']]