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: The Waterman is an Indian restaurant in the riverside area in the £20-25 price range, that is kid friendly and has high customer ratings.
Example Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Indian'], ['The Waterman', 'priceRange', '£20-25'], ['The Waterman', 'customer rating', 'high'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'yes']]

Example Input: In 1996, Kiruna competed in the Norrland section.
Example Output: [['[TABLECONTEXT]', 'SEASON', '1996'], ['Division 2', 'SECTION', 'Norrland'], ['[TABLECONTEXT]', '[TITLE]', 'Kiruna FF'], ['Tier 3', 'DIVISION', 'Division 2'], ['1996', 'LEVEL', 'Tier 3']]

Example Input: The Green Man is great place to go out for a fun night with the gals or the lads. In Riverside right near All Bar One  the cost of the fine Italian cuisine Is amazing for such great prices; prices under 20 dollars get the best bang for your buck at the Green Man
Example Output:
[['Green Man', 'food', 'Italian'], ['Green Man', 'priceRange', 'less than £20'], ['Green Man', 'area', 'riverside'], ['Green Man', 'near', 'All Bar One']]