Classifier Instance:

Anchor text: Texas
Target Entity: Texas
Preceding Context: Most states use a winner-take-all system, in which the candidate with the most votes in that state receives all of the state's electoral votes. This gives candidates an incentive to pay the most attention to states without a clear favorite, such as Pennsylvania, Ohio, and Florida. For example, California, Texas, and New York, in spite of having the largest populations, have in recent elections been considered safe for a particular party (Democratic for California and New York; Republican for
Succeeding Context: ), and therefore candidates typically devote relatively few resources, in both time and money, to such states.
Paragraph Title: Focus on large swing states
Source Page: Electoral College (United States)

Ground Truth Types:

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|  |  |  |---wordnet_region_108630985
|  |  |  |  |---wordnet_district_108552138
|  |  |  |  |  |---wordnet_administrative_district_108491826
|  |  |  |  |  |  |---wordnet_state_108654360

Predicted Types:

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yagoGeoEntity0.9260299226988558 1
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wordnet_municipality_108626283-2.4352952648763453 0
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wordnet_geological_formation_109287968-3.1570912145680303 0
wordnet_way_104564698-3.751738242808578 0
wordnet_land_109334396-4.809361367274037 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
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|  |  |  |  |---wordnet_geographical_area_108574314
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|  |  |  |  |---wordnet_district_108552138
|  |  |  |  |  |---wordnet_administrative_district_108491826
|  |  |  |  |  |  |---wordnet_state_108654360
|  |  |  |  |  |  |---wordnet_municipality_108626283
|  |  |  |  |  |  |---wordnet_country_108544813
|  |  |  |  |  |  |---wordnet_commune_108541609
|  |  |  |  |  |  |---wordnet_township_108672199
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|  |  |  |  |  |  |---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