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.

Input: Consider Input: For cheap fast food there is Midsummer House close to All Bar One.  Customers have rated it 5 out of 5.

Output: [['Midsummer House', 'food', 'Fast food'], ['Midsummer House', 'priceRange', 'cheap'], ['Midsummer House', 'customer rating', '5 out of 5'], ['Midsummer House', 'near', 'All Bar One']]


Input: Consider Input: Near Café Rouge, in Riverside. Chinese food, The Golden Curry. Customer rating 3 out of 5.

Output: [['The Golden Curry', 'food', 'Chinese'], ['The Golden Curry', 'customer rating', '3 out of 5'], ['The Golden Curry', 'area', 'riverside'], ['The Golden Curry', 'near', 'Café Rouge']]


Input: Consider Input: The Punter, a children friendly coffee shop with excellent customer rating, serves Japanese food at high price. It is located near Café Sicilia.


Output: [['The Punter', 'eatType', 'coffee shop'], ['The Punter', 'food', 'Japanese'], ['The Punter', 'priceRange', 'more than £30'], ['The Punter', 'customer rating', '5 out of 5'], ['The Punter', 'familyFriendly', 'yes'], ['The Punter', 'near', 'Café Sicilia']]