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: The UK dish of bacon sandwiches, (ingredients include condiments), are also called bacon butty, rasher sandwich, piece 'n bacon, bacon barm, bacon sanger, bacon sarnie and bacon muffin.
Example Output: [['Bacon sandwich', 'COUNTRY', 'United Kingdom'], ['Bacon sandwich', 'ALTERNATIVE_NAME', '"Bacon butty, bacon sarnie, rasher sandwich, bacon sanger, piece \'n bacon, bacon cob, bacon barm, bacon muffin"'], ['Bacon sandwich', 'INGREDIENT', 'Condiment']]

Example Input: Rosberg continued to drive for Mercedes in the 2013 season, winning 2 out of 19 races and scoring 171 points.
Example Output: [['Formula One', 'POINTS', '171'], ['2013', 'TEAM', 'Mercedes AMG Petronas F1 Team'], ['19', 'WINS', '2'], ['Formula One', 'RACES', '19'], ['2013', 'SERIES', 'Formula One'], ['[TABLECONTEXT]', '[TITLE]', 'Nico Rosberg'], ['[TABLECONTEXT]', 'SEASON', '2013']]

Example Input: The Parliament of the United Kingdom is the leader of London.
Example Output:
[['London', 'LEADER_TITLE', 'Parliament of the United Kingdom']]