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: Zizzi is a pub providing Chinese food Its customer rating is 1 out of 5.

Output: [['Zizzi', 'eatType', 'pub'], ['Zizzi', 'food', 'Chinese'], ['Zizzi', 'customer rating', '1 out of 5']]


Input: Consider Input: Amongst children-friendly  restaurants with prices more than £30 standing Japanese Loch Fyne.

Output: [['Loch Fyne', 'food', 'Japanese'], ['Loch Fyne', 'priceRange', 'more than £30'], ['Loch Fyne', 'familyFriendly', 'yes']]


Input: Consider Input: Birmingham is lead by the Birmingham City Council and the Liberal Democrats. The town (which has the B postcode) is the birthplace of the architect John Madin who designed 103 Colmore Row.


Output: [['Birmingham', 'LEADER_NAME', 'Liberal Democrats'], ['Birmingham', 'POSTAL_CODE', 'B postcode area'], ['103 Colmore Row', 'ARCHITECT', 'John Madin'], ['John Madin', 'HOMETOWN', 'Birmingham'], ['Birmingham', 'GOVERNING_BODY', 'Birmingham City Council']]