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 result in the election in which Ralph R. Eltse was the incumbent was lost re-election democratic gain.
Example Output: [['California 7', 'RESULT', 'Lost re-election Democratic gain'], ['California 7', 'INCUMBENT', 'Ralph R. Eltse']]

Example Input: The record when the opponents had 50 points was 3-0.
Example Output: [['Nov. 24/05', 'RECORD', '3-0'], ['Nov. 24/05', 'OPP._POINTS', '50']]

Example Input: Highly rated and still cheap, Cocum is a coffee shop serving Japanese food in an adult environment.
Example Output:
[['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Japanese'], ['Cocum', 'priceRange', 'cheap'], ['Cocum', 'customer rating', '5 out of 5']]