Classifier Instance:

Anchor text: Rotterdam
Target Entity: Rotterdam
Preceding Context: On 10 May the Leibstandarte overcame Dutch border guards and spearheaded the German advance into the Netherlands, and the Der F├╝hrer advanced towards Utrecht. The following day the rest of the SS-VT Division crossed into the Netherlands and headed towards
Succeeding Context: , which they reached on 12 May. After the surrender of Rotterdam, the Leibstandarte set out to reach the Hague, which they did on 15 May, capturing 3,500 Dutch prisoners of war.
Paragraph Title: France and the Netherlands
Source Page: Waffen-SS

Ground Truth Types:

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|  |  |  |  |  |  |  |---wordnet_home_108559508

Predicted Types:

TypeConfidenceDecision
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wordnet_administrative_district_1084918262.5170167057365633 1
wordnet_state_108654360-3.4961239816212855 0
wordnet_municipality_1086262832.4159169738901918 1
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wordnet_city_1085247351.7277695834867928 1
wordnet_country_108544813-2.470601419129815 0
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wordnet_topographic_point_108664443-1.7690975434502183 0
wordnet_geographic_point_1085787061.3140415533304584 1
wordnet_address_1084910271.2251949812252019 1
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wordnet_workplace_104602044-2.0012166099306086 0
wordnet_region_108630039-3.649528177633686 0
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wordnet_body_of_water_109225146-3.7298102690724337 0
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wordnet_way_104564698-3.4502896644426766 0
wordnet_land_109334396-1.0060994798705052 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |  |---wordnet_structure_104341686
|  |  |---wordnet_facility_103315023
|  |  |---wordnet_way_104564698
|  |---wordnet_event_100029378
|  |---wordnet_organization_108008335
|  |---wordnet_person_100007846
|  |---yagoGeoEntity
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|  |  |  |---wordnet_region_108630985
|  |  |  |  |---wordnet_geographical_area_108574314
|  |  |  |  |  |---wordnet_tract_108673395
|  |  |  |  |  |  |---wordnet_plot_108674739
|  |  |  |  |  |  |---wordnet_site_108651247
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|  |  |  |  |  |  |---wordnet_municipality_108626283
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|  |  |  |  |  |  |  |---wordnet_city_108524735
|  |  |  |  |  |---wordnet_settlement_108672562
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|  |  |  |  |  |  |  |---wordnet_town_108665504
|  |  |  |  |  |  |  |---wordnet_city_108524735
|  |  |  |  |  |  |---wordnet_country_108544813
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