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:
Gainza city consist of 1,475 Area (hectares)	with 10,345 Population (2010).

Ex Output:
[['Gainza', 'POPULATION_(2010)', '10,345'], ['Gainza', 'AREA_(HECTARES)', '1,475']]


Ex Input:
Earning fourth place, Fiji's performance at the 2011 Pacific Games included 33 gold medals and 44 silvers.

Ex Output:
[['[TABLECONTEXT]', '[TITLE]', '2011 Pacific Games'], ['130', 'SILVER', '44'], ['130', 'GOLD', '33'], ['Fiji', 'RANK', '4'], ['[TABLECONTEXT]', 'COUNTRY', 'Fiji'], ['Fiji', 'TOTAL', '130']]


Ex Input:
Based in the city centre near the Café Rouge, The Golden Curry has a low customer rating and serves French food.  it is not family-friendly.

Ex Output:

[['The Golden Curry', 'food', 'French'], ['The Golden Curry', 'customer rating', 'low'], ['The Golden Curry', 'area', 'city centre'], ['The Golden Curry', 'familyFriendly', 'no'], ['The Golden Curry', 'near', 'Café Rouge']]