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:
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:
The Riverside Academy in Riverside has PreK to grade 4 only.

Ex Output:
[['Riverside Academy', 'HIGH_GRADE', '4'], ['Riverside Academy', 'NEIGHBORHOOD', 'Riverside'], ['Riverside Academy', 'LOW_GRADE', 'PreK']]


Ex Input:
The Golden Palace has a high customer rating and falls within the £20-25 price range for French food. It is along the riverside and within a coffee shop environment.

Ex Output:

[['The Golden Palace', 'eatType', 'coffee shop'], ['The Golden Palace', 'food', 'French'], ['The Golden Palace', 'priceRange', '£20-25'], ['The Golden Palace', 'customer rating', 'high'], ['The Golden Palace', 'area', 'riverside']]