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: Beef kway teow is a popular dish in Singapore where Tony Tan is the leader and English the country's spoken language.The food is available nationwide in Indonesia as well.
Example Output: [['Singapore', 'LANGUAGE', 'English language'], ['Beef kway teow', 'COUNTRY', 'Singapore'], ['Beef kway teow', 'REGION', '"Nationwide in Singapore and Indonesia"'], ['Singapore', 'LEADER_NAME', 'Tony Tan']]

Example Input: In a season when wacker burghausen is the oberbayern, bc augsburg ii is the schwaben.
Example Output: [['1961-62', 'SCHWABEN', 'bc augsburg ii'], ['1961-62', 'OBERBAYERN_A', 'wacker burghausen']]

Example Input: For Italian foods recommended with high customer ratings, Cocum is the place.  This coffee shop is children friendly with prices more than £30,
Example Output:
[['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Italian'], ['Cocum', 'priceRange', 'more than £30'], ['Cocum', 'customer rating', 'high'], ['Cocum', 'familyFriendly', 'yes']]