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: Cocum is a family friendly restaurant that is rated 5 out of 5 by customers.  They serve cheap pub food.
Example Output: [['Cocum', 'eatType', 'restaurant'], ['Cocum', 'priceRange', 'cheap'], ['Cocum', 'customer rating', '5 out of 5'], ['Cocum', 'familyFriendly', 'yes']]

Example Input: Cocum is a mid-range Indian restaurant and coffee shop. Rated 3 out of 5, no kids.
Example Output: [['Cocum', 'eatType', 'restaurant'], ['Cocum', 'food', 'Indian'], ['Cocum', 'customer rating', '3 out of 5'], ['Cocum', 'familyFriendly', 'no']]

Example Input: Created in 1981, Dublin West had 3 seats after the Electoral Act of 2005.
Example Output:
[['21', 'CREATED', '1981'], ['21', 'CONSTITUENCY', 'Dublin West'], ['[TABLECONTEXT]', '[TITLE]', 'Electoral (Amendment) Act 2005'], ['Dublin West', 'SEATS', '3'], ['[TABLECONTEXT]', 'NUMBER', '21']]