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 French restaurant, The Eagle, is a high priced coffee shop near Burger King. It is not children friendly, and has a rating of 3 out of 5.
Example Output: [['The Eagle', 'eatType', 'restaurant'], ['The Eagle', 'food', 'French'], ['The Eagle', 'priceRange', 'high'], ['The Eagle', 'customer rating', '3 out of 5'], ['The Eagle', 'familyFriendly', 'no'], ['The Eagle', 'near', 'Burger King']]

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: Pennsylvania (3 had william bigler (d) as a successor)
Example Output:
[['Pennsylvania (3)', 'SUCCESSOR', 'William Bigler (D)']]