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: Susan Sloan was from Canada during the 1979 Pan American Games ranked 5th with a time of 1:03.52.
Example Output: [['Susan Sloan', 'NATIONALITY', 'Canada'], ['Susan Sloan', 'TIME', '1:03.52'], ['Susan Sloan', 'RANK', '5']]

Example Input: The Wrestlers is a children friendly coffee shop with a price range of more than £30. It also serves Japanese food and is located in  the city centre near Raja Indian Cuisine.
Example Output: [['The Wrestlers', 'eatType', 'coffee shop'], ['The Wrestlers', 'food', 'Japanese'], ['The Wrestlers', 'priceRange', 'more than £30'], ['The Wrestlers', 'area', 'city centre'], ['The Wrestlers', 'familyFriendly', 'yes'], ['The Wrestlers', 'near', 'Raja Indian Cuisine']]

Example Input: 20,807 formal votes were cast in the Hammond district election.
Example Output:
[['Total formal votes', 'PARTY', 'Total formal votes'], ['Total formal votes', 'VOTES', '20,807'], ['[TABLECONTEXT]', 'CANDIDATE', 'Total formal votes'], ['[TABLECONTEXT]', '[TITLE]', 'Electoral district of Hammond']]