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.

[EX Q]: In the centre of the city, there is a restaurant called The Waterman.  It is a highly recommended, yet inexpensive, restaurant for families.
[EX A]: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'priceRange', 'cheap'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'yes']]

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

[EX Q]: Mike james had the most assists (6) on January 3.
[EX A]:
[['31', 'HIGH_ASSISTS', 'mike james (6)'], ['31', 'DATE', 'january 3']]