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:
Beef kway teow is a popular dish in Singapore where Tony Tan is the leader and English the country's spoken language.The food is available nationwide in Indonesia as well.

Ex Output:
[['Singapore', 'LANGUAGE', 'English language'], ['Beef kway teow', 'COUNTRY', 'Singapore'], ['Beef kway teow', 'REGION', '"Nationwide in Singapore and Indonesia"'], ['Singapore', 'LEADER_NAME', 'Tony Tan']]


Ex Input:
The Director of the Acharya Institute of Technology in Bangalore, Karnataka, India is Dr G P Prabhukumar.

Ex Output:
[['Acharya Institute of Technology', 'CITY', 'Bangalore'], ['Acharya Institute of Technology', 'DIRECTED_BY', '"Dr. G. P. Prabhukumar"'], ['Acharya Institute of Technology', 'COUNTRY', '"India"'], ['Acharya Institute of Technology', 'STATE', 'Karnataka']]


Ex Input:
Cornell University is affiliated with the Association of Public and Land grant Universities.

Ex Output:

[['Cornell University', 'AFFILIATION', 'Association of Public and Land-grant Universities']]