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 UK dish of bacon sandwiches, (ingredients include condiments), are also called bacon butty, rasher sandwich, piece 'n bacon, bacon barm, bacon sanger, bacon sarnie and bacon muffin.

Output: [['Bacon sandwich', 'COUNTRY', 'United Kingdom'], ['Bacon sandwich', 'ALTERNATIVE_NAME', '"Bacon butty, bacon sarnie, rasher sandwich, bacon sanger, piece \'n bacon, bacon cob, bacon barm, bacon muffin"'], ['Bacon sandwich', 'INGREDIENT', 'Condiment']]


Input: Consider Input: Cocum is a mid-range Indian restaurant and coffee shop. Rated 3 out of 5, no kids.

Output: [['Cocum', 'eatType', 'restaurant'], ['Cocum', 'food', 'Indian'], ['Cocum', 'customer rating', '3 out of 5'], ['Cocum', 'familyFriendly', 'no']]


Input: Consider Input: Strada, an Italian restaurant has high prices and a low customer rating. It is not family-friendly, but is near Rainbow Vegetarian Café


Output: [['Strada', 'eatType', 'restaurant'], ['Strada', 'food', 'Italian'], ['Strada', 'priceRange', 'high'], ['Strada', 'customer rating', '1 out of 5'], ['Strada', 'familyFriendly', 'no'], ['Strada', 'near', 'Rainbow Vegetarian Café']]