This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.

Input: Consider Input: ['A place with moderate prices is Cotto and is near All Bar One.', 'City center is the location for The Waterman. It is serving Chinese food in the moderate price range. It is kid-friendly and has a low customer rating.']

Output: DISSIMILAR


Input: Consider Input: ['The Hartford Whalers NHL team drafted a winger.', 'Bibimbap House, located near Clare Hall in the city center has a low food price less than £20.']

Output: DISSIMILAR


Input: Consider Input: ['AC Hotel Bella Sky Copenhagen has 23 floors, 814 rooms, is owned by Bella Center and is tenanted by the Marriott International Hotel.', 'Marriott International is the tenant of AC Hotel Bella Sky Copenhagen, which has 23 floors and 814 rooms, and is owned by Bella Center.']


Output: SIMILAR