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: Fitzbillies is a coffee shop with low prices and a 5 out of 5 rating. It serves fast food and is not family-friendly.
Example Output: [['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'Fast food'], ['Fitzbillies', 'priceRange', 'cheap'], ['Fitzbillies', 'customer rating', '5 out of 5'], ['Fitzbillies', 'familyFriendly', 'no']]

Example Input: Cocum is a Japanese coffee shop that is non child friendly with a high price range and a customer rating of 3 out of 5.
Example Output: [['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Japanese'], ['Cocum', 'priceRange', 'high'], ['Cocum', 'customer rating', '3 out of 5'], ['Cocum', 'familyFriendly', 'no']]

Example Input: NOR got 8th place in Shooting.
Example Output:
[['8', 'COUNTRY', 'Norway (NOR)'], ['[TABLECONTEXT]', '[TITLE]', 'Shooting at the 1988 Summer Olympics'], ['[TABLECONTEXT]', 'RANK', '8']]