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: Midsummer House is a Japanese restaurant near the Café Rouge but it has a low customer rating.
Example Output: [['Midsummer House', 'eatType', 'restaurant'], ['Midsummer House', 'food', 'Japanese'], ['Midsummer House', 'customer rating', 'low'], ['Midsummer House', 'near', 'Café Rouge']]

Example Input: During his time as head coach of Auburn University's baseball team, Johnny Williamson achieved a 21-23-0 record and a .477 percentage.
Example Output: [['Johnny Williamson', 'RECORD', '21-23-0'], ['Johnny Williamson', 'PCT.', '.477'], ['[TABLECONTEXT]', 'COACH', 'Johnny Williamson'], ['[TABLECONTEXT]', '[TITLE]', 'Auburn Tigers baseball']]

Example Input: For a cheap family friendly Italian meal visit Strada. It has an average customer rating and is located near Rainbow Vegetarian Café.
Example Output:
[['Strada', 'food', 'Italian'], ['Strada', 'priceRange', 'cheap'], ['Strada', 'customer rating', 'average'], ['Strada', 'familyFriendly', 'yes'], ['Strada', 'near', 'Rainbow Vegetarian Café']]