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: ['Alderney is served by Alderney airport which is 88 metres above sea level and has a 1st runway made of poaceae. The runway, which is 497.0 in length, is named 14/32.', 'Alderney Airport, which is located 88 meters above sea level, serves Alderney. The 1st runway at Alderney Airport is made from Poaceae and is known as 14/32. It measures a length of 497.0.']

Output: SIMILAR


Input: Consider Input: ['There is a Chinese venue with a price range of less than £20 called The Punter.', 'The Punter is a Chinese venue that has a price range of less than £20.']

Output: SIMILAR


Input: Consider Input: ['Nicole Anderson played the role of Macy Misa in all seasons of Jonas L.A.', 'In the city centre near Burger King there is a cheap coffee shop called The Eagle which serves Italian food. It is family-friendly and has an average customer rating of 5 out of 5.']


Output: DISSIMILAR