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: Strada is not child friendly, has English food, the price range is high, has a 1 out of 5 customer rating, and is near the Rainbow Vegetarian Café.
Example Output: [['Strada', 'food', 'English'], ['Strada', 'priceRange', 'high'], ['Strada', 'customer rating', '1 out of 5'], ['Strada', 'familyFriendly', 'no'], ['Strada', 'near', 'Rainbow Vegetarian Café']]

Example Input: Elliot See was a US national, who was born in Dallas. He was a student at the University of Texas at Austin (affiliated to the university of Texas system). He was a test pilot who died in St. Louis.
Example Output: [['Elliot See', 'ALMA_MATER', 'University of Texas at Austin'], ['University of Texas at Austin', 'AFFILIATIONS', 'University of Texas System'], ['Elliot See', 'OCCUPATION', 'Test pilot'], ['Elliot See', 'NATIONALITY', 'United States'], ['Elliot See', 'BIRTH_PLACE', 'Dallas'], ['Elliot See', 'DEATH_PLACE', 'St. Louis'], ['Elliot See', 'STATUS', '"Deceased"']]

Example Input: The Wildwood is a mid priced pub serving fast food.
Example Output:
[['Wildwood', 'eatType', 'pub'], ['Wildwood', 'food', 'Fast food']]