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 Input:
["'1634: The Bavarian Crisis' is preceded by '1634: The Baltic War' which was written by David Weber.", "'1634: The Bavarian Crisis' was preceded by '1634: The Baltic War' which was written by David Weber."]

Ex Output:
SIMILAR


Ex Input:
['The Australian politician represents the South Province, and his term will expire in 1986.', 'Appleton International airport is located in Greenville, Wisconsin in the United States.The airport serves Appleton. Greenville is part of Ellington and Dale,Wisconsin.']

Ex Output:
DISSIMILAR


Ex Input:
['Loch Fyne serves Chinese food and is located in the riverside area near The Rice Boat. It has an average customer rating.', 'Loch Fyne provides Chinese food It is located in the riverside. It is near The Rice Boat. Its customer rating is average.']

Ex Output:

SIMILAR