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: Ethylcellulose can be derived using chloroethane, and it is water insoluble.

Output: [['Ethylcellulose', 'REAGENT_EXAMPL7', 'Chloroethane'], ['Ethylcellulose', 'WATER_SOLUBILITY', 'Water insoluble']]


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: The Vaults is a high priced, non-child friendly English restaurant.


Output: [['The Vaults', 'eatType', 'restaurant'], ['The Vaults', 'food', 'English'], ['The Vaults', 'priceRange', 'high'], ['The Vaults', 'familyFriendly', 'no']]