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: 28 july has a solitudering circuit
Example Output: [['III Solituderennen', 'DATE', '28 July'], ['III Solituderennen', 'CIRCUIT', 'Solitudering']]

Example Input: Cocum is a coffee shop which offers Japanese food without a children friendly atmosphere with a high price range. It has a customer rating of 3 out of 5.
Example Output: [['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Japanese'], ['Cocum', 'priceRange', 'high'], ['Cocum', 'customer rating', '3 out of 5'], ['Cocum', 'familyFriendly', 'yes']]

Example Input: The Giraffe is a family friendly coffee shop located near The Bakers has a cheap price range and an average customer rating.
Example Output:
[['Giraffe', 'eatType', 'coffee shop'], ['Giraffe', 'priceRange', 'moderate'], ['Giraffe', 'customer rating', 'average'], ['Giraffe', 'familyFriendly', 'yes'], ['Giraffe', 'near', 'The Bakers']]