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: 103 Colmore Row was designed by the architect John Madin whose home town is Birmingham, a town where Khalid Mahmood (British politician) is one of the leaders.

Output: [['103 Colmore Row', 'ARCHITECT', 'John Madin'], ['John Madin', 'HOMETOWN', 'Birmingham'], ['Birmingham', 'LEADER_NAME', 'Khalid Mahmood (British politician)']]


Input: Consider Input: A Japanese place named Alimentum with decent prices is not family friend and located the river side.

Output: [['Alimentum', 'food', 'Japanese'], ['Alimentum', 'familyFriendly', 'no']]


Input: Consider Input: In 1960, the vehicle registration plates in New Jersey had a serial format of F-86-3.


Output: [['black on buff, non-reflective, Contr. Equip. embossed in wide block font above numbers', 'SERIAL_FORMAT', 'F-86-3'], ['black on buff, non-reflective, Contr. Equip. embossed in wide block font above numbers', 'FIRST_ISSUED', '1960'], ['Vehicle registration plates of New Jersey', 'DESIGN', 'black on buff, non-reflective, Contr. Equip. embossed in wide block font above numbers']]