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: ['The Australian politician represents the South Province, and his term will expire in 1986.', 'Appleton International airport is located in Greenville, Wisconsin in the United States.The airport serves Appleton. Greenville is part of Ellington and Dale,Wisconsin.']
Example Output: DISSIMILAR

Example Input: ['Every location where Nick is Bru is in rangpur.', 'The Eagle is a Japanese kid-friendly coffee shop situated by the riverside. Its price ranges are moderate and it has a customer rating of 1 out of 5. It is near Burger King.']
Example Output: DISSIMILAR

Example Input: ['Soho Press in the United States published the book A Loyal Character Dancer. The book is written in English, as spoken in Great Britain. The United States is home to the ethnic group of Native Americans.', 'The language of Great Britain is English and this is used by the writer of A Loyal Character Dancer. The book is published by Soho Press in the United States where the ethnic group of Native Americans can be found.']
Example Output:
SIMILAR