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 Input:
The Yippee Noodle Bar is in the city centre near to Alimentum Fast food and has a customer rating of 1 out of 5 with a high price range.

Ex Output:
[['Alimentum', 'food', 'Fast food'], ['Alimentum', 'priceRange', 'high'], ['Alimentum', 'customer rating', '1 out of 5'], ['Alimentum', 'area', 'city centre'], ['Alimentum', 'near', 'Yippee Noodle Bar']]


Ex Input:
Aarhus Lufthavn A/S is the operation organisation of Aarhus Airport where the runway 10L/28R with a length of 2776.0.

Ex Output:
[['Aarhus Airport', 'RUNWAY_LENGTH', '2776.0'], ['Aarhus Airport', 'OPERATING_ORGANISATION', '"Aarhus Lufthavn A/S"'], ['Aarhus Airport', 'RUNWAY_NAME', '"10L/28R"']]


Ex Input:
The Boys #7-14 is collected in their second title, Get Some.

Ex Output:

[['Get Some', 'COLLECTED_MATERIAL', 'The Boys #7-14'], ['[TABLECONTEXT]', 'TITLE', 'Get Some'], ['[TABLECONTEXT]', '[TITLE]', 'The Boys (comics)'], ['Get Some', 'NUMBER', '2']]