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: Cocum is a coffee shop which offers Japanese food without a children friendly atmosphere with a high price range. It has a customer rating of 3 out of 5.

Output: [['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Japanese'], ['Cocum', 'priceRange', 'high'], ['Cocum', 'customer rating', '3 out of 5'], ['Cocum', 'familyFriendly', 'yes']]


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: Producer: films division director: a. k. sidhpuri are the awardees when the name of award is best agricultural film.


Output: [['The Land Of Rupshupas', 'AWARDEE(S)', 'Producer: Films Division Director: A. K. Sidhpuri'], ['The Land Of Rupshupas', 'NAME_OF_AWARD', 'Best Agricultural Film']]