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: Bakewell pudding is a dessert.
Example Output: [['Bakewell pudding', 'COURSE', '"Dessert"']]

Example Input: Benassi Bros. thirteeth title was Megamix.
Example Output: [['Megamix', 'NUMBER', '13.'], ['Megamix', 'ARTIST', 'Benassi Bros.']]

Example Input: Browns Cambridge is a non family friend coffee shop that is located in the city centre near Crowne Plaza Hotel.  It sells Japanese food and has an average rating.
Example Output:
[['Browns Cambridge', 'eatType', 'coffee shop'], ['Browns Cambridge', 'food', 'Japanese'], ['Browns Cambridge', 'customer rating', 'average'], ['Browns Cambridge', 'area', 'city centre'], ['Browns Cambridge', 'near', 'Crowne Plaza Hotel']]