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: Elliot see was born in Dallas, Texas. He attended the University of Texas at Austin which is affiliated with the University of Texas system. The school is part of the big 12 conference and the president of the school is Gregory L. Fenves.
Example Output: [['Elliot See', 'ALMA_MATER', 'University of Texas at Austin'], ['University of Texas at Austin', 'AFFILIATIONS', 'University of Texas System'], ['Dallas', 'PARTS_TYPE', 'List of counties in Texas'], ['Elliot See', 'BIRTH_PLACE', 'Dallas'], ['University of Texas at Austin', 'COMPETE_IN', 'Big 12 Conference'], ['University of Texas at Austin', 'PRESIDENT', 'Gregory L. Fenves']]

Example Input: There is a coffee shop called Wildwood near Ranch that serves Japanese food. It has a customer rating of 3 out of 5.
Example Output: [['Wildwood', 'eatType', 'coffee shop'], ['Wildwood', 'food', 'Japanese'], ['Wildwood', 'customer rating', '3 out of 5'], ['Wildwood', 'near', 'Ranch']]

Example Input: For an average cost and dining experience, The Wrestlers is an average rated Japanese dining experience.
Example Output:
[['The Wrestlers', 'food', 'Japanese'], ['The Wrestlers', 'customer rating', '3 out of 5']]