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 Yippee Noodle Bar is in the city centre near to Alimentum Fast food and has a customer rating of 1 out of 5 with a high price range.
Example Output: [['Alimentum', 'food', 'Fast food'], ['Alimentum', 'priceRange', 'high'], ['Alimentum', 'customer rating', '1 out of 5'], ['Alimentum', 'area', 'city centre'], ['Alimentum', 'near', 'Yippee Noodle Bar']]

Example Input: Cocum is a coffee shop serving high quality Italian food that is low priced and family friendly.
Example Output: [['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Italian'], ['Cocum', 'priceRange', 'cheap'], ['Cocum', 'customer rating', '5 out of 5'], ['Cocum', 'familyFriendly', 'yes']]

Example Input: Cotto is a highly priced coffee shop located in the city centre. It offers Italian food and its located near The Portland Arms. Its rating is average.
Example Output:
[['Cotto', 'eatType', 'coffee shop'], ['Cotto', 'food', 'Italian'], ['Cotto', 'customer rating', 'average'], ['Cotto', 'area', 'city centre'], ['Cotto', 'near', 'The Portland Arms']]