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: ["Designer of 103 Colmore Row, John Madin's hometown was Birmingham, a town lead by the Liberal Democrats and the postcode area 'B'.", 'The architect John Madin who designed 103 Colmore Row was born in Birmingham which has the B postcode and is lead by the Liberal Democrats.']

Output: SIMILAR


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: ['Money used in Greece is the Euro.', 'The Greece is the currency in Euro.']


Output: DISSIMILAR