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: Bibimbap House is a fast food join in the city centre near The Rice Boat.

Output: [['Bibimbap House', 'food', 'Fast food'], ['Bibimbap House', 'area', 'city centre'], ['Bibimbap House', 'near', 'The Rice Boat']]


Input: Consider Input: Strada It is not for the whole family, rated 1 star, their prices are cheap, It is next to Rainbow Vegetarian Café

Output: [['Strada', 'priceRange', 'less than £20'], ['Strada', 'customer rating', 'low'], ['Strada', 'near', 'Rainbow Vegetarian Café']]


Input: Consider Input: In the riverside area is a fast food coffee shop called The Golden Palace that has a moderate price range and a 3 out of 5  rating.


Output: [['The Golden Palace', 'eatType', 'coffee shop'], ['The Golden Palace', 'food', 'Fast food'], ['The Golden Palace', 'priceRange', 'moderate'], ['The Golden Palace', 'customer rating', '3 out of 5'], ['The Golden Palace', 'area', 'riverside']]