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:
['In the 1948 motion picture Velvet Touch, Sydney Greenstreet was casted as Capt. Danbury.', 'Bulworth was nominated for Best Original Screenplay at the 71st Academy Awards.']

Ex Output:
DISSIMILAR


Ex Input:
['The Punter is a kid-friendly Italian coffee shop located near Café Sicilia that was ranked high by customers', 'The Punter coffee shop serves good, if pricey, Italian food.  It is located near Café Sicilia.  Families with children are welcome.']

Ex Output:

SIMILAR