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

Example Input: The Vaults is an expensive pub near Café Adriatic, with average customer reviews.
Example Output: [['The Vaults', 'eatType', 'pub'], ['The Vaults', 'priceRange', 'high'], ['The Vaults', 'customer rating', 'average'], ['The Vaults', 'near', 'Café Adriatic']]

Example Input: The cyrillic name for Budisava is будисава.
Example Output:
[['Budisava', 'CYRILLIC_NAME_OTHER_NAMES', 'Будисава']]