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.

Q: ['Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg can be located by the ISSN number "0025-5858" and has the abbreviation Abh. Math. Semin. Univ. Hambg.', 'The ISSN number for Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg (abbreviating to Abh. Math. Semin. Univ. Hambg.) is 0025-5858.']

A: SIMILAR
****
Q: ['The Antwerp International Airport is operated by the Flemish Government which has jurisdiction over Flanders.', 'The operating organisation of Antwerp International airport is the Flemish government which has jurisdiction in Flanders.']

A: SIMILAR
****
Q: ['Dane Whitman is the alternative name for the comic character, Dane Whitman Black Knight which was created by Roy Thomas.', 'Not friendly for kids and with a customer rating of 1 out of 5, Fitzbillies restaurant is moderately prices and located near Express by Holiday Inn.']

A:
DISSIMILAR
****