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: Jānis Daliņš belongs to Latvia.
Example Output: [['Jānis Daliņš', 'NATIONALITY', 'Latvia']]

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: Grissom drove for the Jay Robinson Racing in 2005 and finished 32.2 on average.
Example Output:
[['2005', 'TEAM(S)', '#49 Jay Robinson Racing'], ['[TABLECONTEXT]', '[TITLE]', 'Steve Grissom'], ['2005', 'AVG._FINISH', '32.2'], ['[TABLECONTEXT]', 'YEAR', '2005']]