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.

Example Input: The Vaults is a three star, inexpensive pub near Café Adriatic.
Example Output: [['The Vaults', 'eatType', 'pub'], ['The Vaults', 'priceRange', 'cheap'], ['The Vaults', 'customer rating', '3 out of 5'], ['The Vaults', 'near', 'Café Adriatic']]

Example Input: A Japanese place named Alimentum with decent prices is not family friend and located the river side.
Example Output: [['Alimentum', 'food', 'Japanese'], ['Alimentum', 'familyFriendly', 'no']]

Example Input: Binignit is a dish from the region of Visayas, Philippines. It is served as the dessert course and its ingredients are sago and banana.
Example Output:
[['Binignit', 'REGION', 'Visayas'], ['Binignit', 'MAIN_INGREDIENTS', 'Sago'], ['Binignit', 'COURSE', 'Dessert'], ['Binignit', 'COUNTRY', 'Philippines'], ['Binignit', 'INGREDIENT', 'Banana']]