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 Rice Boat is a family friendly Indian restaurant in the center of the city near Express by Holiday Inn.  They allow children; however they are pricey and have a low customer rating.', 'Wang xiaoli yu yang won womens doubles in 2010.']

Ex Output:
DISSIMILAR


Ex Input:
['Alderney is served by Alderney airport which is 88 metres above sea level and has a 1st runway made of poaceae. The runway, which is 497.0 in length, is named 14/32.', 'Alderney Airport, which is located 88 meters above sea level, serves Alderney. The 1st runway at Alderney Airport is made from Poaceae and is known as 14/32. It measures a length of 497.0.']

Ex Output:
SIMILAR


Ex Input:
['Estádio Municipal Coaracy da Mata Fonesca is in Brazil.', 'Brazil is located in Estádio Municipal Coaracy da Mata Fonseca.']

Ex Output:

DISSIMILAR