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 Waterman it is a Chinese restaurant that offers food at a high price range. It is customer rating are 1 out of 5. Locate at City centre area, children are welcome.

Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Chinese'], ['The Waterman', 'priceRange', 'high'], ['The Waterman', 'customer rating', '1 out of 5'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'yes']]


Input: Consider Input: In the centre of the city, there is a restaurant called The Waterman.  It is a highly recommended, yet inexpensive, restaurant for families.

Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'priceRange', 'cheap'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'yes']]


Input: Consider Input: There is a high-price ranged coffee shop The Punter located near Café Sicilia.  1-star rating.


Output: [['The Punter', 'eatType', 'coffee shop'], ['The Punter', 'priceRange', 'more than £30'], ['The Punter', 'customer rating', 'low'], ['The Punter', 'near', 'Café Sicilia']]