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: There is a cheap restaurant The Eagle. It is a coffee shop that offers Indian food with an average customer rating.  It is in the city centre area near Burger King, it is not family friendly.
Example Output: [['The Eagle', 'eatType', 'restaurant'], ['The Eagle', 'food', 'Indian'], ['The Eagle', 'priceRange', 'cheap'], ['The Eagle', 'customer rating', 'average'], ['The Eagle', 'area', 'city centre'], ['The Eagle', 'familyFriendly', 'no'], ['The Eagle', 'near', 'Burger King']]

Example Input: Near Café Rouge, Midsummer House serves Indian food and has a customer rating of 1 out of 5.
Example Output: [['Midsummer House', 'food', 'Indian'], ['Midsummer House', 'customer rating', '1 out of 5'], ['Midsummer House', 'near', 'Café Rouge']]

Example Input: The Eurowheel is located in Mirabilandia.
Example Output:
[['Italy', 'LOCATION', 'Mirabilandia, Ravenna'], ['Eurowheel', 'COUNTRY', 'Italy']]