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 authors of 1634: The Bavarian Crisis are Virginia DeMarce and Eric Flint. It has 448 pages, an ISBN number of 978-1-4165-4253-7and is available in hardcover.
Example Output: [['1634: The Bavarian Crisis', 'ISBN_NUMBER', '"978-1-4165-4253-7"'], ['1634: The Bavarian Crisis', 'MEDIA_TYPE', 'Hardcover'], ['1634: The Bavarian Crisis', 'NUMBER_OF_PAGES', '"448"'], ['1634: The Bavarian Crisis', 'AUTHOR', '"Virginia DeMarce and Eric Flint"']]

Example Input: Bob mcewen (r) 74.0% bob smith (d) 26.0% were the candidates for district ohio 6.
Example Output: [['Ohio 6', 'CANDIDATES', 'Bob McEwen (R) 74.0% Bob Smith (D) 26.0%']]

Example Input: Green Man is a sushi restaurant that is located close to All Bar One in City centre on the river. It is a good place to eat for a low price without the kids.
Example Output:
[['Green Man', 'eatType', 'restaurant'], ['Green Man', 'priceRange', 'less than £20'], ['Green Man', 'area', 'riverside'], ['Green Man', 'near', 'All Bar One']]