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 Wrestlers is a Chinese restaurant with a high price range and customer rating of 1 out of 5. Not kid friendly.
Example Output: [['The Wrestlers', 'eatType', 'restaurant'], ['The Wrestlers', 'food', 'Chinese'], ['The Wrestlers', 'priceRange', 'high'], ['The Wrestlers', 'customer rating', '1 out of 5'], ['The Wrestlers', 'familyFriendly', 'no']]

Example Input: The Rice Boat is located in the city centre offering Italian food. It has a low customer rating and is not family-friendly.
Example Output: [['The Rice Boat', 'food', 'Italian'], ['The Rice Boat', 'customer rating', 'low'], ['The Rice Boat', 'area', 'city centre'], ['The Rice Boat', 'familyFriendly', 'no']]

Example Input: Every website with specialization of engineering and division of dhaka division is duet.ac.bd.
Example Output:
[['Dhaka University of Engineering & Technology', 'LOCATION', 'Gazipur'], ['Dhaka University of Engineering & Technology', 'SPECIALIZATION', 'Engineering'], ['Gazipur', 'DIVISION', 'Dhaka division'], ['Dhaka University of Engineering & Technology', 'WEBSITE', 'duet.ac.bd']]