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: The Green Man is family-friendly costs less than £20 near All Bar One in the city centre and does fast food.
Example Output: [['Green Man', 'food', 'Fast food'], ['Green Man', 'priceRange', 'less than £20'], ['Green Man', 'area', 'city centre'], ['Green Man', 'familyFriendly', 'yes'], ['Green Man', 'near', 'All Bar One']]

Example Input: In Indo, California, the average low for the year was 62.1 degrees F.
Example Output: [['[TABLECONTEXT]', '[TITLE]', 'Indio, California'], ['[TABLECONTEXT]', 'CLIMATE', 'Average low °F (°C)'], ['Average low °F (°C)', 'YEAR', '62.1 (16.7)']]

Example Input: The Wrestlers is an average, high priced, adult friendly Indian establishment.
Example Output:
[['The Wrestlers', 'food', 'Indian'], ['The Wrestlers', 'priceRange', 'high']]