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 Eagle has an average customer rating and French food.
Example Output: [['The Eagle', 'food', 'French'], ['The Eagle', 'customer rating', 'average']]

Example Input: The Punter is a French restaurant with an average price range.
Example Output: [['The Punter', 'eatType', 'restaurant'], ['The Punter', 'food', 'French'], ['The Punter', 'priceRange', '£20-25']]

Example Input: David Oliver attended 2008 Olympic Games in Beijing, China and got 3rd position in 110 m hurdles
Example Output:
[['Olympic Games', 'POSITION', '3rd'], ['Olympic Games', 'VENUE', 'Beijing, China'], ['[TABLECONTEXT]', 'COMPETITION', 'Olympic Games'], ['Olympic Games', 'NOTES', '110 m hurdles'], ['Olympic Games', 'YEAR', '2008'], ['[TABLECONTEXT]', '[TITLE]', 'David Oliver (athlete)']]