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 current building for Saint Thomas More Catholic Church in Decatur was begun in 1952.', 'Zizzi is a non-child friendly coffee shop located near the city centre. While it has high customer reviews, it also has prices ranging from 20-25 pounds.']

Ex Output:
DISSIMILAR


Ex Input:
['One euro is equal to 5.72079 argentine pesos (ARS).', 'For  a high customer rating visit Clowns French food coffee shop in riverside near Clare Hall .']

Ex Output:
DISSIMILAR


Ex Input:
['The Phoenix serves average Chinese food in the city centre.', 'The Phoenix is in the city centre and serves average Chinese food']

Ex Output:

SIMILAR