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: The Green Man, near All Bar One in the city centre, serves French food at great prices - less than £20. Yes, it is family-friendly.

Output: [['Green Man', 'food', 'French'], ['Green Man', 'priceRange', 'less than £20'], ['Green Man', 'area', 'city centre'], ['Green Man', 'familyFriendly', 'yes'], ['Green Man', 'near', 'All Bar One']]


Input: Consider Input: In rounds 2 and 7, Vaccarella raced with a Climax FPF 1.5 L4 engine.

Output: [['Nino Vaccarella', 'ROUNDS', '2, 7'], ['Scuderia SSS Republica di Venezia', 'ENGINE', 'Climax FPF 1.5 L4'], ['Scuderia SSS Republica di Venezia', 'DRIVERS', 'Nino Vaccarella']]


Input: Consider Input: The coffee shop in Riverside called Cotto has raving reviews for their cheap Italian food and coffee. We're right next to The Portland Arms.


Output: [['Cotto', 'eatType', 'coffee shop'], ['Cotto', 'food', 'Italian'], ['Cotto', 'priceRange', 'cheap'], ['Cotto', 'area', 'riverside'], ['Cotto', 'near', 'The Portland Arms']]