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.

Input: Consider Input: ['Browns Cambridge Located in river side near The Sorrento serving Japanese Food no family-friendly', 'Browns Cambridge Located in river side near The Sorrento serving Japanese Food no family-friendly']

Output: SIMILAR


Input: Consider Input: ['1634: The Bavarian Crisis was preceded by 1634: The Baltic War.', '1634: The Bavarian Crisis is preceded by 1634: The Baltic War.']

Output: SIMILAR


Input: Consider Input: ['Ashgabat International Airport, (runway length: 900 metres), is operated by Turkmenistan Airlines who have their headquarters in Turkmenistan. The hub Airport of Turkmenistan Airlines is Turkmenbashi International Airport and their HQ is at Ashgabat.', 'Ashgabat International Airport is operated by Turkmenistan Airlines and has a 900 meters long runway.The headquarters of Turkmenistan Airlines are located in Ashgabat,Turkmenistan and the hub airport of the airlines is the Turkmenbasi International Airport.']


Output: SIMILAR