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 centre city Cotto of Portland Arms has an expensive low customer rated Italian coffee shop.
Example Output: [['Cotto', 'eatType', 'coffee shop'], ['Cotto', 'food', 'Italian'], ['Cotto', 'priceRange', 'high'], ['Cotto', 'customer rating', '1 out of 5']]

Example Input: Blue Spice is a cheap restaurant located in the city centre. It is not family-friendly and has a customer rating 5 out of 5.
Example Output: [['Blue Spice', 'eatType', 'restaurant'], ['Blue Spice', 'priceRange', 'cheap'], ['Blue Spice', 'customer rating', '5 out of 5'], ['Blue Spice', 'area', 'city centre'], ['Blue Spice', 'familyFriendly', 'no']]

Example Input: A T Charlie Johnson, an American, is the editor of AIP Advances and is doctoral advisor to Michael Tinkham.
Example Output:
[['AIP Advances', 'EDITOR', 'A.T. Charlie Johnson'], ['A.T. Charlie Johnson', 'DOCTORAL_ADVISOR', 'Michael Tinkham'], ['A.T. Charlie Johnson', 'NATIONALITY', 'United States']]