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 Japanese coffee shop that is non child friendly with a high price range and 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', 'no']]


Input: Consider Input: Christopher chulack directed the episode that has 3x6752 listed as the production code.

Output: [['punching water', 'PRODUCTION_CODE', '3x6752'], ['punching water', 'DIRECTED_BY', 'christopher chulack']]


Input: Consider Input: Barny cakes were created by Chicago based Mondelez International. Barny cakes are also from France, whose leader is Gerard Larcher. Manual Valls is a former leader.


Output: [['Barny Cakes', 'COUNTRY', 'France'], ['France', 'LEADER_NAME', 'Gérard Larcher'], ['Mondelez International', 'FOUNDATION_PLACE', 'Chicago'], ['Barny Cakes', 'CREATOR', 'Mondelez International'], ['France', 'LEADER_NAME', 'Manuel Valls']]