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: Lead by Andrew Mitchell and with the postcode area 'B', Birmingham is the hometown of architect John Madin, whom designed 102 Colmore Row.
Example Output: [['Birmingham', 'POSTAL_CODE', 'B postcode area'], ['103 Colmore Row', 'ARCHITECT', 'John Madin'], ['John Madin', 'HOMETOWN', 'Birmingham'], ['Birmingham', 'LEADER_NAME', 'Andrew Mitchell']]

Example Input: Cotto is a coffee shop serving Italian food near The Portland Arms. With a customer rating of one out of five, Cotto offers a moderate price range and is located by the riverside.
Example Output: [['Cotto', 'eatType', 'coffee shop'], ['Cotto', 'food', 'Italian'], ['Cotto', 'priceRange', 'moderate'], ['Cotto', 'customer rating', '1 out of 5'], ['Cotto', 'area', 'riverside'], ['Cotto', 'near', 'The Portland Arms']]

Example Input: The Punter is a coffee shop located near Café Sicilia. They serve traditional Japanese food in the medium price range. It is rated one star and has no public restroom.
Example Output:
[['The Punter', 'eatType', 'coffee shop'], ['The Punter', 'food', 'Japanese'], ['The Punter', 'customer rating', '1 out of 5'], ['The Punter', 'near', 'Café Sicilia']]