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 Punter coffee shop and Indian food is high on price and average in customer Rating, children friendly near Café Sicilia.
Example Output: [['The Punter', 'eatType', 'coffee shop'], ['The Punter', 'food', 'Indian'], ['The Punter', 'priceRange', 'moderate'], ['The Punter', 'customer rating', 'average'], ['The Punter', 'familyFriendly', 'yes'], ['The Punter', 'near', 'Café Sicilia']]

Example Input: Contestant Yemisi Rieger from Vienna at 17 age with 177 cm (5 ft 9.5 in) height got eliminated in Episode 7 Rank.
Example Output: [['Yemisi Rieger', 'RANK', 'Eliminated in Episode 7'], ['Yemisi Rieger', 'HEIGHT', '177 cm (5 ft 9.5 in)'], ['Yemisi Rieger', 'AGE', '17'], ['Yemisi Rieger', 'HOME_CITY', 'Vienna']]

Example Input: Gene Colan has been awarded the Eisner Award.
Example Output:
[['Gene Colan', 'AWARD', 'Eisner Award']]