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: ["Appleton International Airport, which is 280 metres above sea level and has a runway that's 1,982 long, is operated by Outagamie County in Wisconsin.", 'The operators of Appleton International Airport, which has a runway length of 1,982 and is 280 metres above sea level, are in Outagamie County, Wisconsin.']
Example Output: SIMILAR

Example Input: ['Close to Café Sicilia is a family Friendly coffee shop The Punter with a low customer Rating serving Italian food at less than £20', "Cocum offers low cost Japanese food in a coffee shop setting. While it isn't family-friendly past customers rate it 5 out of 5."]
Example Output: DISSIMILAR

Example Input: ['The Rice Boat provides cheap French food, near the Express by Holiday Inn hotel in the city centre. Rated 5 star by customers.', 'Arrabbiata sauce originates from the region of Rome in Italy. Oregano can be added to Arrabbiata sauce as well as chili pepper, tomatoes, red chili, garlic and olive oil.']
Example Output:
DISSIMILAR