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: ["Owned by the Flemish Region, Antwerp International Airport's operation organization is Flemish department of mobility and public works.", 'The Flemish Department of Mobility and Public Works operates the Antwerp International Airport, as it is owned by the Flemish Region.']

Output: SIMILAR


Input: Consider Input: ['Browns Cambridge is an average rated, family friendly coffee shop, serving Indian food near the Crowne Plaza Hotel in city centre.', 'Browns Cambridge is an averagely rated coffee shop located near Crowne Plaza Hotel in the city centre. It is family friendly and serves Indian food.']

Output: SIMILAR


Input: Consider Input: ['Wildwood is a pub that serves Indian food, expect it to cost more than £30, but the customer rating is high.', 'There is a pub called Wildwood that serves Indian food that is rated high by customers, it will cost more than £30.']


Output: SIMILAR