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: ["Atlantic City International Airport in Egg Harbor Township, N.J. serves Atlantic City in the U.S.A. The city's leader is Don Guardian.", 'The Phoenix is an above average Japanese eatery located in the city centre']
Example Output: DISSIMILAR

Example Input: ['The Phoenix has a price range of less than £20 and serves English food in the city centre area with a low customer rating.', 'The Phoenix offers English food and has low customer ratings.  Price range is less than £20, and is located in the city centre.']
Example Output: SIMILAR

Example Input: ['Abilene, Texas is served by the Abilene regional airport whose runway name is 17L/35R. The runway length of that airport is 2,195 and it is 546 meters above sea level.', 'Abilene Regional Airport served Abilene Texas and is 546 metres above sea level. The runway is called 17L/35R and is 2195 long.']
Example Output:
SIMILAR