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: no 4 Driver Juan Pablo Montoya* has Time/Retired +1 Lap and Grid is 5
Example Output: [['Juan Pablo Montoya*', 'GRID', '5'], ['Juan Pablo Montoya*', 'TIME/RETIRED', '+1 Lap'], ['Juan Pablo Montoya*', 'NUMBER', '4']]

Example Input: Near Ranch there is a low rated French coffee shop named Wildwood. it is less than £20.
Example Output:
[['Wildwood', 'eatType', 'coffee shop'], ['Wildwood', 'food', 'French'], ['Wildwood', 'priceRange', 'less than £20'], ['Wildwood', 'customer rating', 'low'], ['Wildwood', 'near', 'Ranch']]