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:
Jānis Daliņš belongs to Latvia.

Ex Output:
[['Jānis Daliņš', 'NATIONALITY', 'Latvia']]


Ex Input:
Tony Tan is the leader of Singapore and Halimah Yacob is also a leader of Singapore. Standard Chinese is a language spoken in Singapore. Beef kway teow is a dish of Singapore and is a popular food of Indonesia.

Ex Output:
[['Beef kway teow', 'REGION', 'Singapore'], ['Singapore', 'LEADER_NAME', 'Tony Tan'], ['Beef kway teow', 'COUNTRY', 'Indonesia'], ['Singapore', 'LANGUAGE', 'Standard Chinese'], ['Singapore', 'LEADER_NAME', 'Halimah Yacob']]


Ex Input:
Cotto is located in City centre, near The Portland Arms. It is an expensive coffee shop with a mid-range rating.

Ex Output:

[['Cotto', 'eatType', 'coffee shop'], ['Cotto', 'priceRange', 'high'], ['Cotto', 'area', 'city centre'], ['Cotto', 'near', 'The Portland Arms']]


