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 Plough is an expensive pub near Café Rouge that serves Chinese food.  They are kid friendly.', 'The Plough pub is located near Café Rouge. They serve expensive Chinese food and are kid friendly.']

Output: SIMILAR


Input: Consider Input: ['The full name of AS Gubbio 1910 is "Associazione Sportiva Gubbio 1910 Srl", they have 5300 members and played in the 2014 season.', 'Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg is concerned with the academic discipline of Pure Mathematics. It has the abbreviation Abh. Math. Semin. Univ. Hambg and the ISSN number 0025-5858.']

Output: 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