Classifier Instance:

Anchor text: Ontario
Target Entity: Ontario
Preceding Context: Similarly, if population density varies greatly within a region, stratified sampling will ensure that estimates can be made with equal accuracy in different parts of the region, and that comparisons of sub-regions can be made with equal statistical power. For example, in
Succeeding Context: a survey taken throughout the province might use a larger sampling fraction in the less populated north, since the disparity in population between north and south is so great that a sampling fraction based on the provincial sample as a whole might result in the collection of only a handful of data from the north.
Paragraph Title: Stratified sampling strategies
Source Page: Stratified sampling

Ground Truth Types:

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

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-0.9893475683122555 0
wordnet_event_100029378-2.928024384646244 0
wordnet_organization_108008335-2.650829956486283 0
wordnet_person_100007846-2.204211818585175 0
yagoGeoEntity1.8258718786008725 1
wordnet_location_1000271672.0279430335776105 1
wordnet_region_1086309851.3729898599383203 1
wordnet_geographical_area_108574314-0.6700442542972899 0
wordnet_area_108497294-2.4574658743437747 0
wordnet_district_1085521381.9755505786938667 1
wordnet_administrative_district_1084918262.7116873790099696 1
wordnet_state_1086543600.7530734780134093 1
wordnet_municipality_108626283-1.3289540924236058 0
wordnet_country_108544813-1.3535838371811184 0
wordnet_commune_108541609-4.064337662936601 0
wordnet_township_108672199-2.301481206028655 0
wordnet_borough_108540532-3.27373485359127 0
wordnet_school_district_108587709-2.9208563318929324 0
wordnet_residential_district_108553535-3.299435752966131 0
wordnet_space_113910384-3.8455859298448893 0
wordnet_point_108620061-1.4395235816739467 0
wordnet_region_108630039-1.2263651054533917 0
wordnet_line_108593262-2.422004253670464 0
wordnet_structure_104341686-1.585275304911131 0
wordnet_facility_103315023-0.8780018359190628 0
wordnet_body_of_water_109225146-1.7479881170620861 0
wordnet_geological_formation_109287968-5.20500186038768 0
wordnet_way_104564698-4.4391427122415985 0
wordnet_land_109334396-2.5326460689545205 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