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.

Input: Consider Input: Driver Joie Chitwood drove car #17, built by Kurtis Kraft-Offenhauser, in the 1950 Indianapolis 500 to position nine.

Output: [['Joie Chitwood', 'POSITION', '9'], ['Joie Chitwood', 'CONSTRUCTOR', 'Kurtis Kraft-Offenhauser'], ['[TABLECONTEXT]', 'DRIVERS', 'Joie Chitwood'], ['Joie Chitwood', 'NUMBER', '17'], ['[TABLECONTEXT]', '[TITLE]', '1950 Indianapolis 500']]


Input: Consider Input: Airbus manufactures the A330 MRTT military transport aircraft, which first flew in 2007 and has a maximum range of 14,800 km.

Output: [['[TABLECONTEXT]', '[TITLE]', 'Military transport aircraft'], ['[TABLECONTEXT]', 'MODEL', 'A330 MRTT'], ['A330 MRTT', 'FIRST_FLIGHT', '2007'], ['A330 MRTT', 'MANUFACTURER', 'Airbus'], ['A330 MRTT', 'MAX_RANGE_(KM)', '14,800']]


Input: Consider Input: Located in Lekanger, the Nordstranda Chapel was constructed in 1963.


Output: [['Nordstranda Chapel', 'LOCATION_OF_THE_CHURCH', 'Lekanger'], ['Nordstranda Chapel', 'YEAR_OF_CONSTRUCTION', '1963']]