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: Located in city centre, The Phoenix provides Italian food; it has a customer rating 5 out of 5.
Example Output: [['The Phoenix', 'food', 'Italian'], ['The Phoenix', 'customer rating', '5 out of 5'], ['The Phoenix', 'area', 'city centre']]

Example Input: The Waterman provides Indian food. It is near Crowne Plaza Hotel.
Example Output: [['The Waterman', 'food', 'Indian'], ['The Waterman', 'near', 'Crowne Plaza Hotel']]

Example Input: "Abh.Math.Semin.Univ.Hambg" is the abbreviation for Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg and is concerned with the academic discipline of Pure Mathematics.
Example Output:
[['Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg', 'ACADEMIC_DISCIPLINE', 'Pure mathematics'], ['Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg', 'ABBREVIATION', '"Abh. Math. Semin. Univ. Hambg."']]