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.

Example Input: The Punter is located near Café Sicilia and offers low priced French food in a family friendly environment with low customer ratings.
Example Output: [['The Punter', 'food', 'French'], ['The Punter', 'priceRange', 'less than £20'], ['The Punter', 'customer rating', 'low'], ['The Punter', 'familyFriendly', 'yes'], ['The Punter', 'near', 'Café Sicilia']]

Example Input: Ayam penyet comes from Java but is made nationwide, and can also be found in Malaysia and Singapore.
Example Output: [['Ayam penyet', 'REGION', '"Nationwide, also can be found in Malaysia and Singapore"'], ['Ayam penyet', 'COUNTRY', 'Java']]

Example Input: Amdavad ni Gufa was completed in 1995.
Example Output:
[['Amdavad ni Gufa', 'COMPLETION_DATE', '1995']]