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: Alimentum is a family friendly Chinese restaurant that is less than twenty pounds a meal near the city center.
Example Output: [['Alimentum', 'eatType', 'restaurant'], ['Alimentum', 'food', 'Chinese'], ['Alimentum', 'area', 'city centre'], ['Alimentum', 'familyFriendly', 'yes']]

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: Clowns is a high priced child friendly establishment near Café Sicilian.
Example Output:
[['Clowns', 'eatType', 'coffee shop'], ['Clowns', 'priceRange', 'high'], ['Clowns', 'familyFriendly', 'yes']]