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: Reading 1 of Va'eria in year 1 read 6:2-5.

Output: [['1', 'YEAR_1_2013,_2016,_2019,_2022_._._._6:2-7:7', '6:2-5'], ['[TABLECONTEXT]', 'READING', '1'], ['[TABLECONTEXT]', '[TITLE]', "Va'eira"]]


Input: Consider Input: The Eagle has an average customer rating and French food.

Output: [['The Eagle', 'food', 'French'], ['The Eagle', 'customer rating', 'average']]


Input: Consider Input: The Accademia di Architettura di Mendrisio in Mendrisio, Switzerland was established in 1996. Its dean is Mario Botta. Switzerland's leader is Federal Chancellor Johann Schneider-Ammann.


Output: [['Accademia di Architettura di Mendrisio', 'COUNTRY', 'Switzerland'], ['Accademia di Architettura di Mendrisio', 'DEAN', 'Mario Botta'], ['Accademia di Architettura di Mendrisio', 'ESTABLISHED', '1996'], ['Accademia di Architettura di Mendrisio', 'CITY', 'Mendrisio'], ['Switzerland', 'LEADER_NAME', 'Johann Schneider-Ammann'], ['Switzerland', 'LEADER_TITLE', 'Federal Chancellor of Switzerland']]