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: The club Citizen achieved its last top division title in n / a.

Output: [['citizen', 'LAST_TOP_DIVISION_TITLE', 'n/a']]


Input: Consider Input: The French restaurant, The Eagle, is a high priced coffee shop near Burger King. It is not children friendly, and has a rating of 3 out of 5.

Output: [['The Eagle', 'eatType', 'restaurant'], ['The Eagle', 'food', 'French'], ['The Eagle', 'priceRange', 'high'], ['The Eagle', 'customer rating', '3 out of 5'], ['The Eagle', 'familyFriendly', 'no'], ['The Eagle', 'near', 'Burger King']]


Input: Consider Input: Zizzi is an expensive coffee shop with very high ratings. It is located in the city centre close to the riverside area. Zizzi is also family friendly.


Output: [['Zizzi', 'eatType', 'coffee shop'], ['Zizzi', 'priceRange', 'more than £30'], ['Zizzi', 'customer rating', '5 out of 5'], ['Zizzi', 'area', 'riverside'], ['Zizzi', 'familyFriendly', 'yes']]