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: There is a Japanese coffee shop called 'The Eagle' which has a cheap price range.  It is located in the riverside area near Burger King and has a 5 out of 5 rating.

Output: [['The Eagle', 'eatType', 'coffee shop'], ['The Eagle', 'food', 'Japanese'], ['The Eagle', 'priceRange', 'cheap'], ['The Eagle', 'customer rating', '5 out of 5'], ['The Eagle', 'area', 'riverside'], ['The Eagle', 'near', 'Burger King']]


Input: Consider Input: Narendra Modi and Sumitra Mahajan are leaders in India, where the currency is the Indian rupee and Indians is the name given to the people that live there. The dish bhajji originates from India.

Output: [['Bhajji', 'COUNTRY', 'India'], ['India', 'DEMONYM', 'Indian people'], ['India', 'CURRENCY', 'Indian rupee'], ['India', 'LEADER_NAME', 'Narendra Modi'], ['India', 'LEADER_NAME', 'Sumitra Mahajan']]


Input: Consider Input: Strada, near the Rainbow Vegetarian Café, serves English food.  It has an average customer rating, a high price range, and is not children friendly.


Output: [['Strada', 'food', 'English'], ['Strada', 'priceRange', 'high'], ['Strada', 'customer rating', 'average'], ['Strada', 'familyFriendly', 'no'], ['Strada', 'near', 'Rainbow Vegetarian Café']]