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: ["A.S. Roma's chairman is James Pallotta.", 'James Pallotta is the chairman of A.S. Roma.']

Output: SIMILAR


Input: Consider Input: ['Fruit preserves are an ingredient in the bakewell tart.', 'Bakewell tart are an ingredient in Fruit preserves.']


Output: DISSIMILAR