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.

[EX Q]: ['1634: The Bavarian Crisis, which was written by Eric Flint, has 448 pages and was put into print with the ISBN number 978-1-4165-4253-7.', 'The ISBN number of 1634: The Bavarian Crisis is 978-1-4165-4253-7. It was written by Eric Flint, has 448 pages and is available in print form.']
[EX A]: SIMILAR

[EX Q]: ['The novel "Into Battle" followed "Above the Veil".', 'Boston is the birthplace of James Pallotta.']
[EX A]: DISSIMILAR

[EX Q]: ['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.']
[EX A]:
SIMILAR