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 record when the opponents had 50 points was 3-0.
Example Output: [['Nov. 24/05', 'RECORD', '3-0'], ['Nov. 24/05', 'OPP._POINTS', '50']]

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 Phoenix, located in Riverside, serves French cuisine and has an average customer rating.
Example Output:
[['The Phoenix', 'food', 'French'], ['The Phoenix', 'customer rating', 'average'], ['The Phoenix', 'area', 'riverside']]