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:
Fitzbillies is an Italian coffee shop based in the riverside area, offering food at a moderate price range.

Ex Output:
[['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'Italian'], ['Fitzbillies', 'priceRange', 'moderate'], ['Fitzbillies', 'area', 'riverside']]


Ex Input:
Taymyr Autonomous Okrug had an average population in 1975 of 42, 857 live births and a natural change of 540.

Ex Output:
[['[TABLECONTEXT]', '[TITLE]', 'Taymyr Autonomous Okrug'], ['540', 'LIVE_BIRTHS', '857'], ['1975', 'NATURAL_CHANGE', '540'], ['[TABLECONTEXT]', 'YEAR', '1975'], ['1975', 'AVERAGE_POPULATION_(X_1000)', '42']]


Ex Input:
Zizzi coffee shop is a High-priced restaurant in the city centre close to a river that is spacious for families.

Ex Output:

[['Zizzi', 'eatType', 'restaurant'], ['Zizzi', 'priceRange', 'more than £30'], ['Zizzi', 'area', 'city centre'], ['Zizzi', 'familyFriendly', 'yes']]