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: While shopping at city centre enjoy lunch at The Phoenix.  This Indian cuisine boasts a 5 out of 5 customer rating. A must try.
Example Output: [['The Phoenix', 'food', 'Indian'], ['The Phoenix', 'customer rating', '5 out of 5'], ['The Phoenix', 'area', 'city centre']]

Example Input: The Malays and Malaysian chinese are both ethnic groups in Malaysia, a country led by Abdul Halim of Kedah. Asam pedas is a food found in Malaysia. It comes from the region of Sumatra and the Malay Peninsula.
Example Output: [['Asam pedas', 'COUNTRY', 'Malaysia'], ['Malaysia', 'ETHNIC_GROUP', 'Malaysian Chinese'], ['Malaysia', 'LEADER_NAME', 'Abdul Halim of Kedah'], ['Malaysia', 'ETHNIC_GROUP', 'Malaysian Malay'], ['Asam pedas', 'REGION', '"Sumatra and Malay Peninsula"']]

Example Input: The Green Man is great place to go out for a fun night with the gals or the lads. In Riverside right near All Bar One  the cost of the fine Italian cuisine Is amazing for such great prices; prices under 20 dollars get the best bang for your buck at the Green Man
Example Output:
[['Green Man', 'food', 'Italian'], ['Green Man', 'priceRange', 'less than £20'], ['Green Man', 'area', 'riverside'], ['Green Man', 'near', 'All Bar One']]

