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: 1634: The Bavarian Crisis is a hardcover publication written by Eric Flint.

Output: [['1634: The Bavarian Crisis', 'AUTHOR', 'Eric Flint'], ['1634: The Bavarian Crisis', 'MEDIA_TYPE', 'Hardcover']]


Input: Consider Input: The Punter is located near Café Sicilia and offers low priced French food in a family friendly environment with low customer ratings.

Output: [['The Punter', 'food', 'French'], ['The Punter', 'priceRange', 'less than £20'], ['The Punter', 'customer rating', 'low'], ['The Punter', 'familyFriendly', 'yes'], ['The Punter', 'near', 'Café Sicilia']]


Input: Consider Input: Stirling Moss of the Rob Walker Racing Team finished 2.8 seconds behind the champion in the 1960 Glover Trophy.


Output: [['[TABLECONTEXT]', 'ENTRANT', 'Rob Walker Racing Team'], ['[TABLECONTEXT]', '[TITLE]', '1960 Glover Trophy'], ['Rob Walker Racing Team', 'DRIVERS', 'Stirling Moss'], ['Stirling Moss', 'TIME/RETIRED', '+ 2.8 s']]