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 Acta Palaeontologica Polonica has a LCCN number of 60040714 and the abbreviation of Acta Palaeontol. Pol. It comes under the academic discipline of Paleobiology.', 'The Acta Palaeontologica Polonica has a LCCN number of 60040714 and the abbreviated name of Acta Palaeontol. Pol. It comes under the academic discipline of Paleobiology.']

Output: SIMILAR


Input: Consider Input: ['AWH Engineering College has a staff size of 250 and is in the city of Kuttikkattoor.', 'AWH Engineering College in Kuttikkattoor has an academic staff size of 250 people.']

Output: SIMILAR


Input: Consider Input: ['The Phoenix offers cheap Italian food. It is located in the city centre. It is rated average by the customers.', 'The Phoenix in the city centre provides Italian food at a cheap price. Its customer rating is average.']


Output: SIMILAR