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: ['Aarhus Airport is 25 metres above sea level.', "The School of Business and Social Sciences at the Aarhus University is affiliated with the European University Association, its headquarters being in Brussels. The School is found in Aarhus,Denmark. Aarhus is found to the southwest of Mols, and Denmark's leader is Lars Løkke Rasmussen."]
Example Output: DISSIMILAR

Example Input: ['Alan Shepard, who was born in New Hampshire and served as a test pilot, is deceased.', 'Alan Shepard (born in New Hampshire) served as a test pilot but is now deceased.']
Example Output: SIMILAR

Example Input: ['The Phoenix rates highly for English food within the riverside area.', 'The Phoenix is an average English place located in riverside.']
Example Output:
SIMILAR