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: Bacon Explosion is a dish from the United States, where Joe Biden is leader and the capital is Washington DC. English is the language spoken in the US and Asian Americans are an ethnic group there.
Example Output: [['Bacon Explosion', 'COUNTRY', 'United States'], ['United States', 'LEADER_NAME', 'Joe Biden'], ['United States', 'ETHNIC_GROUP', 'Asian Americans'], ['United States', 'CAPITAL', 'Washington, D.C.'], ['United States', 'LANGUAGE', 'English language']]

Example Input: In rounds 2 and 7, Vaccarella raced with a Climax FPF 1.5 L4 engine.
Example Output: [['Nino Vaccarella', 'ROUNDS', '2, 7'], ['Scuderia SSS Republica di Venezia', 'ENGINE', 'Climax FPF 1.5 L4'], ['Scuderia SSS Republica di Venezia', 'DRIVERS', 'Nino Vaccarella']]

Example Input: Cocum is an inexpensive coffee shop serving Indian cuisine. It is family friendly and has an average customer rating.
Example Output:
[['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Indian'], ['Cocum', 'priceRange', 'cheap'], ['Cocum', 'customer rating', 'average'], ['Cocum', 'familyFriendly', 'yes']]