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: ['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: ['Browns Cambridge is a low priced Japanese restaurant with a three star rating in the city centre.', 'Located in the city centre, Browns Cambridge is a low priced Japanese restaurant with a three star rating.']

Output: SIMILAR


Input: Consider Input: ['The School of Business and Social Sciences (Aarhus, Denmark) is affiliated with the European University Association, which has its headquarters in Brussels.', 'The School of Business and Social Sciences at the Aarhus University in the city of Aarhus, Denmark is affiliated with the European University Association which has its headquarters in Brussels.']


Output: SIMILAR