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: ['Turkmenistan Airlines is the operating organization for Ashgabat International Airport which is located in Ashgabat. It is elevated 211 metres above sea level and has a runway length of 3800.0.', 'Ashgabat International Airport in Ashgabat is operated by Turkmenistan Airlines. It is located 211 metres above sea level and has a runway length of 3800.0.']

Output: SIMILAR


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: ['The Egg Harbor Township,New Jersey is a part of Atlantic County, New Jersey.', 'Egg Harbor Township, New Jersey, is part of Atlantic County, New Jersey.']


Output: SIMILAR