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: A coffee shop in Riverside called The Golden Palace serves Indian food and  provides moderate pricing but has only a 1 out of 5 customer rating.
Example Output: [['The Golden Palace', 'eatType', 'coffee shop'], ['The Golden Palace', 'food', 'Indian'], ['The Golden Palace', 'customer rating', '1 out of 5'], ['The Golden Palace', 'area', 'riverside']]

Example Input: Binignit is a dessert dish from the Visayas region of the Philippines and contains the ingredients taro and banana.
Example Output:
[['Binignit', 'REGION', 'Visayas'], ['Binignit', 'MAIN_INGREDIENTS', 'Taro'], ['Binignit', 'COURSE', 'Dessert'], ['Binignit', 'COUNTRY', 'Philippines'], ['Binignit', 'INGREDIENT', 'Banana']]