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 School of Business and Social Sciences at the Aarhus University in Aarhus, Denmark is affiliated to the European University Association (which has its HQ in Brussels). Aarhus has a magistrate government. Denmark's leader is Lars Lokke Rasmussen.
Example Output: [['Denmark', 'LEADER_NAME', 'Lars Løkke Rasmussen'], ['School of Business and Social Sciences at the Aarhus University', 'CITY', 'Aarhus'], ['European University Association', 'HEADQUARTERS', 'Brussels'], ['School of Business and Social Sciences at the Aarhus University', 'COUNTRY', 'Denmark'], ['School of Business and Social Sciences at the Aarhus University', 'AFFILIATION', 'European University Association'], ['Aarhus', 'GOVERNMENT_TYPE', 'Magistrate']]

Example Input: Reading 4 says in year three to read 9:8-16.
Example Output: [['4', 'YEAR_3_2015,_2018,_2021,_2024_._._._8:16-9:35', '9:8-16']]

Example Input: The Phoenix, that received a high customer rating, offers fast food at a moderate price. It is located in city centre.
Example Output:
[['The Phoenix', 'food', 'Fast food'], ['The Phoenix', 'priceRange', 'moderate'], ['The Phoenix', 'customer rating', 'high'], ['The Phoenix', 'area', 'city centre']]