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: ['Ashgabat International Airport, located in Ashgabat, is operated by Turkmenistan Airlines. The airport lies 211 metres above sea level and has the runway name 12R/30L which has a length of 900.0.', 'Ashgabat International Airport runway 12R/30L is 900.0 long and 211 metres above sea level. the airport is located in Ashgabat and managed by Turkmenistan Airlines.']
Example Output: SIMILAR

Example Input: ['Laura Boldrini is a key leader in Italy.', 'The leader in Italy is Laura Boldrini.']
Example Output: SIMILAR

Example Input: ['The BBC, which broadcast Bananaman, is located in London and was founded by John Reith, 1st Baron Reith.', 'The BBC, which is located in London and broadcast Bananaman, was founded by John Reith 1st Baron Reith.']
Example Output:
SIMILAR