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 Phoenix City Centre is an expensive French cuisine place that is infamous for its 1 star rating.', "The Phoenix gets low customer ratings and offers French fare in the over £30 range in Cambridge's city centre area."]

Output: SIMILAR


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: ['The runway length of Ashgabat International Airport is 900.0.', 'The runway length at 900.0 is Ashgabat International Airport.']


Output: DISSIMILAR