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: ['Curitiba is part of the state of Parana in South Region, Brazil. It is lead by the Democratic Labour Party (Brazil) and served by Alfonso Pena International Airport.', 'Afonsa Pena International Airport serves the city of Curitiba, in the state of Parana. Curitiba is led by the Democratic Labour Party and is part of the South Region, Brazil.']
Example Output: SIMILAR

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: ['One of the ethnic groups in the United States, is Asian Americans.', 'The United States are an ethnic group of the Asian Americans.']
Example Output:
DISSIMILAR