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.

Input: Consider 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.']

Output: DISSIMILAR


Input: Consider Input: ['The Waterman is an Indian restaurant that usually costs more than £30. It has a high customer rating, is by the riverside, and is not children friendly.', 'The Waterman is an Indian restaurant by the riverside with high reviews. It averages more than £30 and is not children friendly.']

Output: SIMILAR


Input: Consider Input: ['1634: The Bavarian Crisis, which was written by Eric Flint, has 448 pages and was put into print with the ISBN number 978-1-4165-4253-7.', 'The ISBN number of 1634: The Bavarian Crisis is 978-1-4165-4253-7. It was written by Eric Flint, has 448 pages and is available in print form.']


Output: SIMILAR