Classifier Instance:

Anchor text: Kaesong special economic zone
Target Entity: Kaesong
Preceding Context: North Korea claims to have fulfilled the Second Seven-Year Plan (1978–84) target of raising the industrial output in 1984 to 120% of the 1977 target, equivalent to an average annual growth rate of 12.2%. Judging from the production of major commodities that form the greater part of industrial output, however, it is unlikely that this happened. For example, the increase during the 1978-84 plan period for electric power, coal, steel, metal-cutting machines, tractors, passenger cars, chemical fertilizers, chemical fibers, cement, and textiles, respectively, was 78%, 50%, 85%, 67%, 50%, 20%, 56%, 80%, 78%, and 45%. After South Korea's investment in the
Succeeding Context: , computer industry started to emerge.
Paragraph Title: null
Source Page: Economy of North Korea

Ground Truth Types:

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Predicted Types:

TypeConfidenceDecision
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wordnet_state_108654360-0.25240366853163065 0
wordnet_municipality_1086262830.10466034285600001 1
wordnet_town_108665504-1.8031099117750722 0
wordnet_city_1085247351.5726243957884898 1
wordnet_country_108544813-1.2840948845093716 0
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wordnet_region_108630039-1.7018132235899017 0
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wordnet_structure_104341686-2.1145360970272358 0
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wordnet_way_104564698-2.769323564177959 0
wordnet_land_109334396-2.613378947978494 0
|---wordnet_entity_100001740
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|  |  |---wordnet_way_104564698
|  |---wordnet_event_100029378
|  |---wordnet_organization_108008335
|  |---wordnet_person_100007846
|  |---yagoGeoEntity
|  |  |---wordnet_location_100027167
|  |  |  |---wordnet_region_108630985
|  |  |  |  |---wordnet_geographical_area_108574314
|  |  |  |  |  |---wordnet_tract_108673395
|  |  |  |  |  |  |---wordnet_plot_108674739
|  |  |  |  |  |  |---wordnet_site_108651247
|  |  |  |  |  |  |  |---wordnet_cemetery_108521623
|  |  |  |  |  |  |---wordnet_park_108615374
|  |  |  |  |  |  |---wordnet_park_108615149
|  |  |  |  |  |  |---wordnet_subdivision_108674251
|  |  |  |  |  |---wordnet_urban_area_108675967
|  |  |  |  |  |  |---wordnet_municipality_108626283
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|  |  |  |  |---wordnet_area_108497294
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|  |  |  |  |  |---wordnet_center_108523483
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|  |  |  |  |  |  |  |---wordnet_county_seat_108547143
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|  |  |  |  |  |  |---wordnet_state_108654360
|  |  |  |  |  |  |---wordnet_municipality_108626283
|  |  |  |  |  |  |  |---wordnet_town_108665504
|  |  |  |  |  |  |  |---wordnet_city_108524735
|  |  |  |  |  |  |---wordnet_country_108544813
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