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: ["Owned by the Flemish Region, Antwerp International Airport's operation organization is Flemish department of mobility and public works.", 'The Flemish Department of Mobility and Public Works operates the Antwerp International Airport, as it is owned by the Flemish Region.']
Example Output: SIMILAR

Example Input: ['The area codes for Arlington, Texas are 682, 817, 214, 469 and 972.', 'The area codes for 682, 817, 214, 469, 972 are Arlington, Texas.']
Example Output: DISSIMILAR

Example Input: ['The Punter is a moderate priced place that provides Italian.', "Near the Crowne Plaza Hotel at the riverside there is a low rated French coffee shop called Browns Cambridge.  It isn't family-friendly."]
Example Output:
DISSIMILAR