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: ['Ashgabat International Airport, located in Ashgabat, is operated by Turkmenistan Airlines. The airport lies 211 metres above sea level and has the runway name 12R/30L which has a length of 900.0.', 'Ashgabat International Airport runway 12R/30L is 900.0 long and 211 metres above sea level. the airport is located in Ashgabat and managed by Turkmenistan Airlines.']

Output: SIMILAR


Input: Consider Input: ['Lippincott Williams &amp; Wilkins are the publishers of AIDS (journal), they are based in the United States and their parent company is Walters Kluwer.', 'AIDS (journal) was published by Lippincott, Williams &amp; Wilkins, parent company Wolters Kluwer, from the United States.']

Output: SIMILAR


Input: Consider Input: ['The Rice Boat serves English food and is family-friendly has a customer rating of 5 out of 5 in the city centre area.', 'The Rice Boat is located in the city centre. It is family-friendly, serves English food, and is rated 5 out of 5.']


Output: SIMILAR