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:
There is a cheap pub that provides fast food called The Olive Grove.

Ex Output:
[['The Olive Grove', 'eatType', 'pub'], ['The Olive Grove', 'food', 'Fast food'], ['The Olive Grove', 'priceRange', 'less than £20']]


Ex Input:
Dragon's Teeth has original air date October 13, 1965 and production code 105

Ex Output:
[["Dragon's Teeth", 'ORIGINAL_AIR_DATE', 'October 13, 1965'], ["Dragon's Teeth", 'PROD._CODE', '105']]


Ex Input:
With 22,254 people and an area of 68 hectares, Camaligan is the smallest but also the densest municipality in Camarines Sur.

Ex Output:

[['[TABLECONTEXT]', '[TITLE]', 'Camarines Sur'], ['[TABLECONTEXT]', 'CITY/MUNICIPALITY', 'Camaligan'], ['Camaligan', 'AREA_(HECTARES)', '468'], ['Camaligan', 'POPULATION_(2010)', '22,254']]