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: Cocum is a coffee shop that is child-friendly and offers moderately priced fast food. Its customer rating is 1 out of 5.
Example Output: [['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Fast food'], ['Cocum', 'priceRange', 'moderate'], ['Cocum', 'customer rating', '1 out of 5'], ['Cocum', 'familyFriendly', 'yes']]

Example Input: Maurice Tillieux wrote Alain Brisant.
Example Output: [['Alain Brisant', 'WRITER', 'Maurice Tillieux']]

Example Input: Alimentum proudly serves English food at a low price range with an average customer rating located in riverside near Yippee Noodle Bar.
Example Output:
[['Alimentum', 'food', 'English'], ['Alimentum', 'priceRange', 'moderate'], ['Alimentum', 'customer rating', 'average'], ['Alimentum', 'area', 'riverside'], ['Alimentum', 'near', 'Yippee Noodle Bar']]