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.

[EX Q]: The Punter coffee shop and Indian food is high on price and average in customer Rating, children friendly near Café Sicilia.
[EX A]: [['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']]

[EX Q]: For cheap fast food there is Midsummer House close to All Bar One.  Customers have rated it 5 out of 5.
[EX A]: [['Midsummer House', 'food', 'Fast food'], ['Midsummer House', 'priceRange', 'cheap'], ['Midsummer House', 'customer rating', '5 out of 5'], ['Midsummer House', 'near', 'All Bar One']]

[EX Q]: Simon Pagenaud of Team Australia won 23 points.
[EX A]:
[['4', 'POINTS', '23'], ['Team Australia', 'DRIVERS', 'Simon Pagenaud'], ['Simon Pagenaud', 'POSITION', '4']]