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: ['City Centre has a coffee shop that serves Japanese food, children friendly,  has a customer rating of 3 out of 5 and on a high price range called Fitzbillies.', 'Fitzbillies is a children friendly coffee shop that serves Japanese food in the city centre. It has a high price range and a customer rating of three out of five.']

Output: SIMILAR


Input: Consider Input: ['The A.E Dimitra Efxeinoupolis club is located in Greece which is lead by Alexis Tsipras and Nikos Voutsis. The capital city of the country is Athens and the Greek language is spoken.', 'A.E Dimitra Efxeinoupolis is located in Greece, where the leaders are Alexis Tsipras and Nikos Voutsis. Greek is spoken in Greece and the capital is Athens.']

Output: SIMILAR


Input: Consider Input: ['Allama Iqbal International airport is located in Pakistan and has a 2,9 km long runway identified by the name 18R/36L.', 'Allama Iqbal International airport is located in Pakistan. Its runway name is 18R/36L and it is 2900 long.']


Output: SIMILAR