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: Try Alimentum Japanese restaurant in the city centre. The ratings are low and the price range is more than 40. You can find it near the Yippee Noodle Bar.
Example Output: [['Alimentum', 'eatType', 'restaurant'], ['Alimentum', 'food', 'Japanese'], ['Alimentum', 'customer rating', 'low'], ['Alimentum', 'area', 'city centre'], ['Alimentum', 'near', 'Yippee Noodle Bar']]

Example Input: Cocum is a coffee shop that is child-friendly and offers moderately priced fast food. Its customer rating is 1 out of 5.
Example Output: [['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Fast food'], ['Cocum', 'priceRange', 'moderate'], ['Cocum', 'customer rating', '1 out of 5'], ['Cocum', 'familyFriendly', 'yes']]

Example Input: Tony Gulotta completed 200 laps to finish in 7th place in 1933.
Example Output:
[['[TABLECONTEXT]', '[TITLE]', 'Tony Gulotta'], ['1933', 'LAPS', '200'], ['1933', 'FINISH', '7'], ['[TABLECONTEXT]', 'YEAR', '1933']]