Classifier Instance:

Anchor text: France
Target Entity: France
Preceding Context: In occupied countries, especially
Succeeding Context: and the Low Countries, various resistance groups made use of the SS need for low level workers by planting resistance members in certain jobs within SS headquarters buildings. This allowed for intelligence gathering which assisted resistance attacks against German forces; resistance groups in the conquered eastern lands also used this method, with less success, although groups in Norway conducted several assassinations of SS officers through the use of intelligence plants within SS offices.. The SS was often aware of such "moles" and actively attempted to locate such persons and, on occasion, even used the resistance plants to German advantage by supplying bad information in an attempt to bring resistance groups out into the open and destroy them.
Paragraph Title: Contract workers
Source Page: Schutzstaffel

Ground Truth Types:

|---wordnet_entity_100001740
|  |---yagoGeoEntity
|  |  |---wordnet_location_100027167
|  |  |  |---wordnet_region_108630985
|  |  |  |  |---wordnet_district_108552138
|  |  |  |  |  |---wordnet_administrative_district_108491826
|  |  |  |  |  |  |---wordnet_state_108654360
|  |  |  |  |  |  |---wordnet_country_108544813

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-2.2847973124397014 0
wordnet_event_100029378-0.7516337047270969 0
wordnet_organization_108008335-0.8814790150919841 0
wordnet_person_100007846-2.0085462230847164 0
yagoGeoEntity1.5755790137321586 1
wordnet_location_1000271672.0025592885165397 1
wordnet_region_1086309852.434168460603891 1
wordnet_geographical_area_108574314-2.5714472143291065 0
wordnet_area_108497294-2.6212126769141872 0
wordnet_district_1085521382.473486658284361 1
wordnet_administrative_district_1084918262.797187715351993 1
wordnet_state_1086543602.0375185177694024 1
wordnet_municipality_108626283-3.4215939866139635 0
wordnet_country_1085448131.4592504925040497 1
wordnet_commune_108541609-1.727520678948193 0
wordnet_township_108672199-3.2815255075011143 0
wordnet_borough_108540532-2.7427220025214325 0
wordnet_school_district_108587709-2.795380239653252 0
wordnet_residential_district_108553535-4.524786991836238 0
wordnet_space_113910384-3.395503322358777 0
wordnet_point_108620061-2.22677928534099 0
wordnet_region_108630039-2.15810802054523 0
wordnet_line_108593262-3.6026190866212113 0
wordnet_structure_104341686-2.068193866545412 0
wordnet_facility_103315023-2.741157786581469 0
wordnet_body_of_water_109225146-3.5250868628590935 0
wordnet_geological_formation_109287968-5.105677525999935 0
wordnet_way_104564698-5.055039718268109 0
wordnet_land_109334396-3.3848599133730874 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
|  |  |---wordnet_location_100027167
|  |  |  |---wordnet_region_108630985
|  |  |  |  |---wordnet_geographical_area_108574314
|  |  |  |  |---wordnet_area_108497294
|  |  |  |  |---wordnet_district_108552138
|  |  |  |  |  |---wordnet_administrative_district_108491826
|  |  |  |  |  |  |---wordnet_state_108654360
|  |  |  |  |  |  |---wordnet_municipality_108626283
|  |  |  |  |  |  |---wordnet_country_108544813
|  |  |  |  |  |  |---wordnet_commune_108541609
|  |  |  |  |  |  |---wordnet_township_108672199
|  |  |  |  |  |  |---wordnet_borough_108540532
|  |  |  |  |  |  |---wordnet_school_district_108587709
|  |  |  |  |  |---wordnet_residential_district_108553535
|  |  |  |---wordnet_space_113910384
|  |  |  |---wordnet_point_108620061
|  |  |  |---wordnet_region_108630039
|  |  |  |---wordnet_line_108593262
|  |  |---wordnet_structure_104341686
|  |  |---wordnet_facility_103315023
|  |  |---wordnet_body_of_water_109225146
|  |  |---wordnet_geological_formation_109287968
|  |  |---wordnet_way_104564698
|  |  |---wordnet_land_109334396