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: Near Café Brazil in the city centre, there is a low rated coffee shop named The Vaults with prices more than £30

Output: [['The Vaults', 'eatType', 'coffee shop'], ['The Vaults', 'priceRange', 'more than £30'], ['The Vaults', 'customer rating', 'low'], ['The Vaults', 'area', 'city centre'], ['The Vaults', 'near', 'Café Brazil']]


Input: Consider Input: Near Rainbow Vegetarian Café and children friendly for Chinese food, the only thing coming to mind is Strada where the prices are high and ratings are 1 out of 5.

Output: [['Strada', 'food', 'Chinese'], ['Strada', 'priceRange', 'high'], ['Strada', 'customer rating', '5 out of 5'], ['Strada', 'familyFriendly', 'yes'], ['Strada', 'near', 'Rainbow Vegetarian Café']]


Input: Consider Input: The Eagle is an Italian coffee shop. It is located in riverside, near Burger King. It has low customer rating since it is not family-friendly, but offer dishes for less than £20.


Output: [['The Eagle', 'eatType', 'coffee shop'], ['The Eagle', 'food', 'Italian'], ['The Eagle', 'priceRange', 'less than £20'], ['The Eagle', 'customer rating', 'low'], ['The Eagle', 'area', 'riverside'], ['The Eagle', 'familyFriendly', 'no'], ['The Eagle', 'near', 'Burger King']]