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:
['The Antwerp International Airport is operated by the Flemish Government which has jurisdiction over Flanders.', 'The operating organisation of Antwerp International airport is the Flemish government which has jurisdiction in Flanders.']

Ex Output:
SIMILAR


Ex 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.']

Ex Output:
SIMILAR


Ex Input:
['In the city centre there is moderate priced Indian restaurant called The Phoenix is has an average rating.', 'Mohave was a San Francisco and San Jose Railroad train.']

Ex Output:

DISSIMILAR