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: Barny cakes can be found in France where the leaders are Gerard Larcher and François Hollande. Barny cakes were created by Mondelez International which was founded in Chicago.
Example Output: [['Barny Cakes', 'COUNTRY', 'France'], ['Mondelez International', 'FOUNDATION_PLACE', 'Chicago'], ['Barny Cakes', 'CREATOR', 'Mondelez International'], ['France', 'LEADER_NAME', 'Gérard Larcher'], ['France', 'LEADER_NAME', 'François Hollande']]

Example Input: Stephen k amos was the team guest captain for episode 2.
Example Output: [['2', 'TEAM_GUEST_CAPTAIN', 'Stephen K Amos']]

Example Input: The Waterman, rated 5 out of 5 by patrons,  is a low-priced, family-friendly Japanese restaurant located in the city centre.
Example Output:
[['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Japanese'], ['The Waterman', 'priceRange', 'cheap'], ['The Waterman', 'customer rating', '5 out of 5'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'yes']]