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.

Input: Consider Input: In a season when wacker burghausen is the oberbayern, bc augsburg ii is the schwaben.

Output: [['1961-62', 'SCHWABEN', 'bc augsburg ii'], ['1961-62', 'OBERBAYERN_A', 'wacker burghausen']]


Input: Consider Input: Where the number of exports are 6,099.06, 18,613.14 is the total trade.

Output: [['Japan', 'EXPORTS', '6,099.06'], ['Japan', 'TOTAL_TRADE', '18,613.14']]


Input: Consider Input: Japanese food with a price range less than £20 is served at the Wildwood coffee shop. This is near the Ranch and has an average customer rating.


Output: [['Wildwood', 'eatType', 'coffee shop'], ['Wildwood', 'food', 'Japanese'], ['Wildwood', 'priceRange', 'less than £20'], ['Wildwood', 'customer rating', 'average'], ['Wildwood', 'near', 'Ranch']]