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: In Italy, Rome is the capital and two of the leaders are Pietro Grasso and Laura Boldrini. It is where the language is Italian and Amatriciana sauce can be found.

Output: [['Italy', 'CAPITAL', 'Rome'], ['Amatriciana sauce', 'COUNTRY', 'Italy'], ['Italy', 'LEADER_NAME', 'Laura Boldrini'], ['Italy', 'LANGUAGE', 'Italian language'], ['Italy', 'LEADER_NAME', 'Pietro Grasso']]


Input: Consider Input: The Golden Curry provides fast food with low customer ratings. It is not family-friendly.

Output: [['The Golden Curry', 'food', 'Fast food'], ['The Golden Curry', 'customer rating', 'low'], ['The Golden Curry', 'familyFriendly', 'no']]


Input: Consider Input: Nina Hagen played Regina in the 1976 film Unser stiller Mann.


Output: [['[TABLECONTEXT]', '[TITLE]', 'Nina Hagen'], ['[TABLECONTEXT]', 'FILM', 'Unser stiller Mann'], ['Unser stiller Mann', 'YEAR', '1976'], ['Unser stiller Mann', 'ROLE', 'Regina']]