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: Stacey Poon-Kinney, 34, cooks food that can be described as vintage with a modern twist.
Example Output: [['Stacey Poon-Kinney', 'AGE', '34'], ['Stacey Poon-Kinney', 'CULINARY_P.O.V.', 'Vintage with a Modern Twist']]

Example Input: Loch Fyne is is a family friendly Japanese restaurant with reasonable prices.
Example Output: [['Loch Fyne', 'eatType', 'restaurant'], ['Loch Fyne', 'food', 'Japanese'], ['Loch Fyne', 'priceRange', 'moderate'], ['Loch Fyne', 'familyFriendly', 'yes']]

Example Input: if you are looking for a night out without the children then try some Chinese at the pub Zizzi. Zizzi has an average rating.
Example Output:
[['Zizzi', 'eatType', 'pub'], ['Zizzi', 'food', 'Chinese'], ['Zizzi', 'customer rating', 'average']]