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: ['There are a total of 12 floors in 250 Delaware Avenue.', '12 has a floor count of 250 Delaware Avenue.']

Output: DISSIMILAR


Input: Consider Input: ['Brown sauce is an ingredient in a bacon sandwich which is considered a variation of A BLT, which is itself considered to be variation of a club sandwich.', 'The BLT is a variation on the club sandwich and is a lot like a bacon sandwich which many people have with brown sauce.']

Output: SIMILAR


Input: Consider Input: ['Margrethe II and Lars Lokke Rasmussen lead the country of Denmark which is the location of Aarhus airport in Tirstrup, part of the Central Denmark region.', "In Tirstrup, Denmark, there is an airport call Aarhus Airport. It's in the central region of Denmark, which is led` by Margrethe II and Lars Løkke Rasmussen."]


Output: SIMILAR