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:
['Every location where Nick is Bru is in rangpur.', 'The Eagle is a Japanese kid-friendly coffee shop situated by the riverside. Its price ranges are moderate and it has a customer rating of 1 out of 5. It is near Burger King.']

Ex Output:
DISSIMILAR


Ex Input:
["Appleton International Airport, which is 280 metres above sea level and has a runway that's 1,982 long, is operated by Outagamie County in Wisconsin.", 'The operators of Appleton International Airport, which has a runway length of 1,982 and is 280 metres above sea level, are in Outagamie County, Wisconsin.']

Ex Output:
SIMILAR


Ex Input:
['Lemon is an ingredient of Bandeja paisa.', 'Lemon is an ingredient in Bandeja paisa.']

Ex Output:

SIMILAR