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: Erin Elmore is an attorney from Philadelphia.
Example Output: [['Erin Elmore', 'HOMETOWN', 'Philadelphia, Pennsylvania'], ['Erin Elmore', 'BACKGROUND', 'Attorney']]

Example Input: 668 units of a vehicle were produced in 1994–1998.
Example Output: [['2.8i v6 24v', 'PRODUCTION_PERIOD', '1994-1998'], ['2.8i v6 24v', 'UNITS_PRODUCED', '668']]

Example Input: While not a place to bring children, Cocum is a coffee shop with an Indian menu. Its rating from customers are average and the menu items are quite high in price.
Example Output:
[['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Indian']]