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: ['The runway length at Ashgabat International airport is 2989.0.', 'The runway length at 2989.0 is Ashgabat International Airport meters.']
Example Output: DISSIMILAR

Example Input: ['Cocum is a cheap, family friendly pub with a customer rating of 5 out of 5.', 'Cheap pub named Cocum is family friendly with 5 out of 5 customer rating.']
Example Output: SIMILAR

Example Input: ['English is the language of the USA and is also spoken in Great Britain. Native Americans are among the ethnic groups of the USA and A Loyal Character Dancer was Published there.', 'A Loyal Character Dancer is published in the United States, where one of the ethnic groups is Native Americans. The language spoken in the US is English, which is also the language of Great Britain.']
Example Output:
SIMILAR