Classifier Instance:

Anchor text: Chesapeake
Target Entity: United_States_lightship_Chesapeake_\u0028LV\u002d116\u0029
Preceding Context: The naming and numbering of American lightships is often confusing. Up to and through the Civil War lightships were identified by name, usually that of the station where they served. As they were moved from station to station, however, the keeping of records became hopelessly tangled. Therefore in 1867 all existing lightships were given numbers by which they would be permanently identified, and the station at which they were presently serving was painted on their sides, to be changed as needed. Lightships held in reserve to serve in place of those in dock for maintenance were labeled "RELIEF". Surviving lightships are commonly taken to be named according to these labels, but for instance the "Lightship
Succeeding Context: " actually served at two other stations as well as being used for examinations, and last served at the Delaware Light Station. In another case, the LV-114 was labeled "NEW BEDFORD", though there has never been such a station. In an attempt to sort out the early lightships, they were assigned one or two letter designations sometime around 1930; these identifications do not appear in early records, and they are to some degree uncertain.
Paragraph Title: Naming and numbering
Source Page: Lightvessel

Ground Truth Types:

Predicted Types:

Type	Confidence	Decision
wordnet_artifact_100021939	0.6256920924264351	1
wordnet_instrumentality_103575240	0.8069489805634922	1
wordnet_conveyance_103100490	1.011551984579633	1
wordnet_vehicle_104524313	0.7062814986104514	1
wordnet_military_vehicle_103764276	-0.09087753003135533	0
wordnet_craft_103125870	1.3920788623517983	1
wordnet_vessel_104530566	0.9685160231566261	1
wordnet_ship_104194289	0.8999688831619646	1
wordnet_cargo_ship_102965300	-0.9491465502533468	0
wordnet_warship_104552696	0.04463802876901856	1
wordnet_destroyer_103180504	-1.1774774227309428	0
wordnet_submersible_104348184	-1.1905496440420231	0
wordnet_shipwreck_104197110	-1.3777858760260062	0
wordnet_boat_102858304	-0.8419402003206734	0
wordnet_aircraft_102686568	-0.9897160820597422	0
wordnet_wheeled_vehicle_104576211	-1.849791298286924	0
wordnet_medium_106254669	-1.5206434041344465	0
wordnet_device_103183080	-3.5827984736983427	0
wordnet_container_103094503	-1.8938173402017495	0
wordnet_equipment_103294048	-1.7242808031760075	0
wordnet_system_104377057	-1.5466758802447533	0
wordnet_structure_104341686	-2.1723920925166817	0
wordnet_facility_103315023	-2.0630678913309186	0
wordnet_creation_103129123	-3.2132842271804303	0
wordnet_article_100022903	-2.4865033599934017	0
wordnet_commodity_103076708	-2.564937994472685	0
wordnet_way_104564698	-0.6517950656875267	0
wordnet_covering_103122748	-2.7646489167876873	0
wordnet_event_100029378	-0.6939491730266765	0
wordnet_organization_108008335	-0.9701445420496289	0
wordnet_person_100007846	-2.8289960533401834	0
yagoGeoEntity	-0.24528212802696273	0