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: ['John Buscema was awarded an award by the Academy of Comic Book Arts.', 'Academy of Comic Book Arts has been awarded by the John Buscema.']

Output: DISSIMILAR


Input: Consider Input: ['Greece, where the local inhabitants are known as Greeks, is lead by Alexis Tsipras and Nikos Voutsis. Athens is a city in Greece which is served by Athens International airport.', 'Athens International Airport serves the city of Athens, in Greece. Two of the leaders of which are Alexis Tsipras and Nikos Voutsis. The demonym of the inhabitants of Greece is Greeks.']

Output: SIMILAR


Input: Consider Input: ['Abilene Texas is 524m above sea level.', '524.0 is situated at Abilene, Texas above sea level.']


Output: DISSIMILAR