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: Chinon B3 is a Nuclear Power Plant.
Example Output: [['[TABLECONTEXT]', '[TITLE]', 'Reactors at the Chinon Nuclear Power Plant'], ['[TABLECONTEXT]', 'UNIT', 'Chinon B3']]

Example Input: Alan Shepard was born in New Hampshire and obtained a MA in 1957 from NWC. he was selected by NASA in 1959 and became a test pilot.
Example Output: [['Alan Shepard', 'ALMA_MATER', '"NWC, M.A. 1957"'], ['Alan Shepard', 'OCCUPATION', 'Test pilot'], ['Alan Shepard', 'BIRTH_PLACE', 'New Hampshire'], ['Alan Shepard', 'WAS_SELECTED_BY_NASA', '1959']]

Example Input: San Sebastian de los Reyes is part of the Community of Madrid, in Spain. It is where the Adolfo Suarez Madrid- Barajas airport is located and is lead by the People's Party.
Example Output:
[['San Sebastián de los Reyes', 'LEADER_PARTY', "People's Party (Spain)"], ['San Sebastián de los Reyes', 'IS_PART_OF', 'Community of Madrid'], ['Adolfo Suárez Madrid–Barajas Airport', 'LOCATION', 'San Sebastián de los Reyes'], ['San Sebastián de los Reyes', 'COUNTRY', 'Spain']]