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: The centre city Cotto of Portland Arms has an expensive low customer rated Italian coffee shop.

Output: [['Cotto', 'eatType', 'coffee shop'], ['Cotto', 'food', 'Italian'], ['Cotto', 'priceRange', 'high'], ['Cotto', 'customer rating', '1 out of 5']]


Input: Consider Input: Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg has the ISSN number 1865-8784.

Output: [['Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg', 'ISSN_NUMBER', '"1865-8784"']]


Input: Consider Input: The Punter is a child friendly coffee shop serving French food. It is moderately priced, located near Café Sicilia and has a customer rating of 1 out of 5.


Output: [['The Punter', 'eatType', 'coffee shop'], ['The Punter', 'food', 'French'], ['The Punter', 'priceRange', 'moderate'], ['The Punter', 'customer rating', '1 out of 5'], ['The Punter', 'familyFriendly', 'yes'], ['The Punter', 'near', 'Café Sicilia']]