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 team finished second with a 22-19 record while winning the 1st and 2nd playoff rounds in their 1958-59 season.', 'Arthur Cardin from Liberal Political party became Minister of Transport (Canada) since July 8, 1940']
Example Output: DISSIMILAR

Example Input: ['Amsterdam Airport Schiphol is at an elevation of -3.3528 from sea level and the 5th runway is made of asphalt.', 'Amsterdam airport Schipol is -3.3528 above sea level and the 5th runway has an asphalt surface.']
Example Output: SIMILAR

Example Input: ['Aromi is a pub located in the riverside area. It has an average rating and is not family-friendly.', 'Down by the riverside there is a pub called Aromi where you can eat.  It has an average customer rating but is no good for children']
Example Output:
SIMILAR