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.

Example Input: ['United States national Elliot See was born in Dallas. He graduated from the University of Texas at Austin, an affiliation of the university of Texas system, and later served as a test pilot. He passed away in St. Louis.', 'Elliot See has died in St Louis. Born in Dallas he was a US national and attended the University of Texas at Austin which is affiliated the the University of Texas system. He then became a test pilot,.']
Example Output: SIMILAR

Example Input: ['Curitiba is part of the state of Parana in South Region, Brazil. It is lead by the Democratic Labour Party (Brazil) and served by Alfonso Pena International Airport.', 'Afonsa Pena International Airport serves the city of Curitiba, in the state of Parana. Curitiba is led by the Democratic Labour Party and is part of the South Region, Brazil.']
Example Output: SIMILAR

Example Input: ['1634: The Bavarian Crisis, the sequel to The Grantville Gazettes, was written by Eric Flint who was born in Burbank, California.', 'Eric Flint, born in Burbank, California, is the author of 1634: The Bavarian Crisis, which follows The Grantville Gazettes.']
Example Output:
SIMILAR