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:
Adolfo Suárez Madrid–Barajas Airport is in Alcobendas, part of the community of Madrid, in Spain. the airport has an elevation of 610.0 metres above sea level and a runway length of 3500.

Ex Output:
[['Alcobendas', 'IS_PART_OF', 'Community of Madrid'], ['Adolfo Suárez Madrid–Barajas Airport', 'LOCATION', 'Alcobendas'], ['Adolfo Suárez Madrid–Barajas Airport', 'ELEVATION', '610.0'], ['Alcobendas', 'COUNTRY', 'Spain'], ['Adolfo Suárez Madrid–Barajas Airport', 'RUNWAY_LENGTH', '3500.0']]


Ex Input:
The Eagle is located in the city centre. It has a customer rating of 5 out of 5 and a price range of more than £30.

Ex Output:
[['The Eagle', 'priceRange', 'more than £30'], ['The Eagle', 'customer rating', '5 out of 5'], ['The Eagle', 'area', 'city centre']]


Ex Input:
On the 1 cent Kiribati dollar, on the obverse was the state arms while on the reverse were frigate birds.

Ex Output:

[['[TABLECONTEXT]', 'VALUE', '1 cent'], ['[TABLECONTEXT]', '[TITLE]', 'Kiribati dollar'], ['1 cent', '1979-1989_REVERSE', 'Frigate Birds'], ['1 cent', '1979-1989_OBVERSE', 'State arms']]