Classifier Instance:

Anchor text: Bukit Rimau
Target Entity: Bukit_Rimau
Preceding Context: Shah Alam has a similar urban layout to Petaling Jaya or Subang Jaya with housing areas occupying most of the city (55.2 km 2 ) and commercial centres scattered around the different 'Seksyen' (sections). There are 56 sections in total. Generally Shah Alam can be divided into north, central and south part. North Shah Alam consist of 18 Sections including Sections U1 and U2 and Kampung Melayu Subang. The Central Shah Alam is the 'main' part of Shah Alam. It is where all the state administrative building and agencies are situated. It consist of Section 1 until Section 24 seen in the map as beige colored area. South Shah Alam consists of 12 sections including Section 25(Sri Muda), Section 30 (Jalan Kebun), Section 31 (Kota Kemuning) and Section 32 (
Succeeding Context: ). In the map, the south Shah Alam is seen as the light purple colored area.
Paragraph Title: Cityscape
Source Page: Shah Alam

Ground Truth Types:

|---wordnet_entity_100001740
|  |---yagoGeoEntity
|  |  |---wordnet_location_100027167
|  |  |  |---wordnet_region_108630985
|  |  |  |  |---wordnet_geographical_area_108574314
|  |  |  |  |  |---wordnet_tract_108673395
|  |  |  |  |  |  |---wordnet_site_108651247
|  |  |  |  |  |  |  |---wordnet_site_108651247_rest

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-1.1277526956667623 0
wordnet_event_100029378-1.5985733790747434 0
wordnet_organization_108008335-2.379533700937096 0
wordnet_person_100007846-2.902044688319908 0
yagoGeoEntity1.338539340290383 1
wordnet_location_1000271671.3682168369370784 1
wordnet_region_1086309851.7495396431269101 1
wordnet_geographical_area_1085743141.4237379179748813 1
wordnet_tract_1086733952.1410802985678856 1
wordnet_plot_108674739-1.9874130073142624 0
wordnet_site_1086512470.9979115790747708 1
wordnet_cemetery_108521623-1.1191081726384167 0
wordnet_park_108615374-1.5011826218407713 0
wordnet_park_108615149-1.9014113882142034 0
wordnet_subdivision_108674251-1.881040784028816 0
wordnet_urban_area_108675967-1.9353894690489495 0
wordnet_settlement_108672562-1.9075664947094277 0
wordnet_area_108497294-1.3733264750340792 0
wordnet_district_108552138-1.1716404622808558 0
wordnet_space_113910384-1.5550251821443637 0
wordnet_point_108620061-1.6267151495519776 0
wordnet_region_108630039-1.9118032564168632 0
wordnet_line_108593262-1.8466119230085791 0
wordnet_structure_104341686-2.0791245970942724 0
wordnet_facility_103315023-1.315835179973585 0
wordnet_body_of_water_109225146-3.3496866223333646 0
wordnet_geological_formation_109287968-2.109616366096965 0
wordnet_way_104564698-1.5889806769580859 0
wordnet_land_109334396-2.366935414974385 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_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_settlement_108672562
|  |  |  |  |---wordnet_area_108497294
|  |  |  |  |---wordnet_district_108552138
|  |  |  |---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