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: ['Sweet potato, one of the ingredients in Binignit, is also paired with banana, to make a dessert from the Mindanao region in the Phillippines.', 'Some of the ingredients found in the dessert Binignit are banana and sweet potato. The dish comes from Mindanao and is found in the Philippines.']

Output: SIMILAR


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: ["David S. War's 1994 movie Major League II made $30,626,182 at the box office.", 'Sulphur Creek is 4.5 miles (7.2 km) long.']


Output: DISSIMILAR