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: ['Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg can be located by the ISSN number "0025-5858" and has the abbreviation Abh. Math. Semin. Univ. Hambg.', 'The ISSN number for Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg (abbreviating to Abh. Math. Semin. Univ. Hambg.) is 0025-5858.']

Output: SIMILAR


Input: Consider Input: ['City Centre has a coffee shop that serves Japanese food, children friendly,  has a customer rating of 3 out of 5 and on a high price range called Fitzbillies.', 'Fitzbillies is a children friendly coffee shop that serves Japanese food in the city centre. It has a high price range and a customer rating of three out of five.']

Output: SIMILAR


Input: Consider Input: ['Eric Flint\'s book, "1634: The Bavarian Crisis," was preceded by "Grantville Gazette II.".', '1634: The Bavarian Crisis, written by Eric Flint, was preceded by Grantville Gazette II.']


Output: SIMILAR