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: Bob mcewen (r) 74.0% bob smith (d) 26.0% were the candidates for district ohio 6.
Example Output: [['Ohio 6', 'CANDIDATES', 'Bob McEwen (R) 74.0% Bob Smith (D) 26.0%']]

Example Input: Apollo 14 crew member Alan Shepard was awarded the Distinguished Service Medal by the U.S. Navy, an award that ranks higher than the Department of Commerce Gold Medal. Shepard was born in New Hampshire, graduated from N.W.C. with an M.A. in 1957 and in 1974 on August 1st, he retired.
Example Output: [['Alan Shepard', 'ALMA_MATER', '"NWC, M.A. 1957"'], ['Alan Shepard', 'WAS_A_CREW_MEMBER_OF', 'Apollo 14'], ['Distinguished Service Medal (United States Navy)', 'HIGHER', 'Department of Commerce Gold Medal'], ['Alan Shepard', 'BIRTH_PLACE', 'New Hampshire'], ['Alan Shepard', 'DATE_OF_RETIREMENT', '"1974-08-01"'], ['Alan Shepard', 'AWARD', 'Distinguished Service Medal (United States Navy)']]

Example Input: In the city centre near Clare Hall is a Japanese restaurant called Bibimbap House. It is less than £20.
Example Output:
[['Bibimbap House', 'eatType', 'restaurant'], ['Bibimbap House', 'food', 'Japanese'], ['Bibimbap House', 'priceRange', 'less than £20'], ['Bibimbap House', 'area', 'city centre'], ['Bibimbap House', 'near', 'Clare Hall']]