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.

[EX Q]: Cocum is a coffee shop which is kid friendly, has a average rating, is expensive, and serves Indian food.
[EX A]: [['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Indian'], ['Cocum', 'priceRange', 'high'], ['Cocum', 'customer rating', 'average'], ['Cocum', 'familyFriendly', 'yes']]

[EX Q]: Browns Cambridge is a adults only Indian coffee shop in the riverside area. Located near Crowne Plaza Hotel. The customer rating is low.
[EX A]: [['Browns Cambridge', 'eatType', 'coffee shop'], ['Browns Cambridge', 'food', 'Indian'], ['Browns Cambridge', 'customer rating', 'low'], ['Browns Cambridge', 'area', 'riverside'], ['Browns Cambridge', 'familyFriendly', 'no'], ['Browns Cambridge', 'near', 'Crowne Plaza Hotel']]

[EX Q]: The introductory phrase for the episode with the production bode 6026 was none.
[EX A]:
[['678', 'INTRODUCTORY_PHRASE', 'none'], ['678', 'PRODUCTION_CODE', '6026']]