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.

Input: Consider Input: Fitzbillies is a cheap, family friendly coffee shop serving French food in riverside with a customer rating of 5 out of 5.

Output: [['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'French'], ['Fitzbillies', 'priceRange', 'cheap'], ['Fitzbillies', 'customer rating', '5 out of 5'], ['Fitzbillies', 'area', 'riverside'], ['Fitzbillies', 'familyFriendly', 'yes']]


Input: Consider Input: The episode rank that had 2.65 million viewers by 90.

Output: [['3', 'VIEWERS_(M)', '2.65'], ['3', 'RANK_(#)', '90']]


Input: Consider Input: The approved treatments for the antibody bevacizumab are colorectal cancer.


Output: [['Bevacizumab', 'APPROVED_TREATMENT(S)', 'colorectal cancer']]