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:
Zizzi, a cheap coffee shop along river side have good customer rating and family-friendly

Ex Output:
[['Zizzi', 'eatType', 'coffee shop'], ['Zizzi', 'priceRange', 'cheap'], ['Zizzi', 'customer rating', '3 out of 5'], ['Zizzi', 'familyFriendly', 'yes']]


Ex Input:
In September, Burbank, California recorded .23(5.8) inches of precipitation, and 1.07(27.2) in November.

Ex Output:
[['Precipitation inches (mm)', 'SEP', '.23 (5.8)'], ['Precipitation inches (mm)', 'NOV', '1.07 (27.2)'], ['[TABLECONTEXT]', 'MONTH', 'Precipitation inches (mm)'], ['[TABLECONTEXT]', '[TITLE]', 'Burbank, California']]


Ex Input:
Aromi is a pub located along the riverside. It is child friendly and is child friendly.

Ex Output:

[['Aromi', 'eatType', 'pub'], ['Aromi', 'area', 'riverside'], ['Aromi', 'familyFriendly', 'yes']]