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 Alderney Airport elevation above the sea level (in meters) is 88.', 'Alderney Airport is 88 metres above sea level.']

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: ["Sergio Mattarella is a leader in Italy alongside Matteo Renzi. You'll find Amatriciana sauce here where Italian is the language spoken and the capital is Rome.", 'Italian is the language spoken in Italy, a country where Matteo Renzi and Sergio Mattarella are leaders and where Rome is the capital city. Amatriciana sauce can be found in Italy.']


Output: SIMILAR