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: Located riverside, Clowns is has high prices and is ranked 1 out of 5.
Example Output: [['Clowns', 'priceRange', 'high'], ['Clowns', 'customer rating', '1 out of 5'], ['Clowns', 'area', 'riverside']]

Example Input: Around the corner from Ranch,there is the Wildwood coffee shop that serves French cuisine in the higher price bracket.
Example Output: [['Wildwood', 'eatType', 'coffee shop'], ['Wildwood', 'food', 'French'], ['Wildwood', 'near', 'Ranch']]

Example Input: Arròs negre is a traditional dish from Catalonia, Spain. The leader of Catalonia is Carles Puigdemont and the country uses the Euro as currency. The leader is Felipe VI.
Example Output:
[['Catalonia', 'LEADER_NAME', 'Carles Puigdemont'], ['Spain', 'CURRENCY', 'Euro'], ['Arròs negre', 'COUNTRY', 'Spain'], ['Spain', 'LEADER_NAME', 'Felipe VI of Spain'], ['Arròs negre', 'REGION', 'Catalonia']]