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: Alimentum is a French eatery that has an average price range and a high customer rating. It is located near the Yippee Noodle Bar along the riverside.
Example Output: [['Alimentum', 'food', 'French'], ['Alimentum', 'priceRange', '£20-25'], ['Alimentum', 'customer rating', 'high'], ['Alimentum', 'area', 'riverside'], ['Alimentum', 'near', 'Yippee Noodle Bar']]

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: Martin Kaymer, in 2007, had 29 starts and made 16 cuts.
Example Output:
[['2007', 'STARTS', '29'], ['[TABLECONTEXT]', '[TITLE]', 'Martin Kaymer, European Tour professional career summary'], ['[TABLECONTEXT]', 'YEAR', '2007'], ['2007', 'CUTS_MADE', '16']]