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:
['By the river is The Phoenix it serves high price Indian food ,but has average customer ratings.', 'Agra airport is located in Agra and its ICAO location identifier is VIAG.']

Ex Output:
DISSIMILAR


Ex Input:
['1 out of 5 customers would dine at The Waterman pub for Fast food when they are walking along the riverside.', 'The Waterman is rated 1 out of 5 and is the best pub to eat fast food by the riverside.']

Ex Output:

SIMILAR