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: ['The price range is a little high, but Wildwood coffee shop caters for a range of requirements for Italian food.  With is location near a Ranch, customers rate it as average.', 'Wildwood is a coffee shop, located near a Ranch.  Although the price range is a little high and with an average customer rating, it is possible to pick up a range of Italian food.']

Output: SIMILAR


Input: Consider Input: ['There are a total of 12 floors in 250 Delaware Avenue.', '12 has a floor count of 250 Delaware Avenue.']

Output: DISSIMILAR


Input: Consider Input: ['In the riverside area there is a pub serving Italian food. The name of the restaurant is The Waterman and its customer rating is 1 out of 5.', 'The Waterman is a pub restaurant in Riverside.  It serves Italian food and has a customer rating of 1 out of 5.']


Output: SIMILAR