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: ['Eric Flint, born in Burbank California, is the author of 1634: The Bavarian Crisis, which was preceded by 1634: The Baltic War. These books were preceded by DeMarce short stories in the Grantville Gazettes. He was influenced by Robert A. Heinlein.', 'Eric Flint was born in Burbank, California and came under the influence of Robert A Heinlein. He is the author of 1634: The Bavarian Crisis which is preceded by 1634: The Baltic War. Also preceding the book are the DeMarce short stories in the Grantville Gazettes.']

Output: SIMILAR


Input: Consider Input: ["Appleton International Airport, which is 280 metres above sea level and has a runway that's 1,982 long, is operated by Outagamie County in Wisconsin.", 'The operators of Appleton International Airport, which has a runway length of 1,982 and is 280 metres above sea level, are in Outagamie County, Wisconsin.']

Output: SIMILAR


Input: Consider Input: ['Clowns is a low customer rating coffee shop that serves fast food. It is in riverside near Clare Hall.', 'The avocado plant belongs to the Lauraceae family and is one of the ingredients in the dish Bandeja paisa.']


Output: DISSIMILAR