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: ['Arem-arem, with ingredients such as banana leaf, vegetables and minced meat is a javanese dish which can be served as a main course.', 'The main course Arem-arem is a dish of Javanese cuisine and is also popular in Indonesia. The main ingredients are rice cooked in banana leaf with vegetables or minced meat fillings.']

Output: SIMILAR


Input: Consider Input: ['Browns Cambridge is a moderately priced restaurant featuring wine and antipasto.', 'Located near Café Adriatic, in the city centre, the Travellers Rest Beefeater has a current customer rating of 3 out of 5, with a price range of £20-25.']


Output: DISSIMILAR