Classifier Instance:

Anchor text: Fabry–Pérot interferometer
Target Entity: Fabry\u2013P\u00e9rot_interferometer
Preceding Context: An example of interference between reflections is the iridescent colours seen in a soap bubble or in thin oil films on water. Applications include
Succeeding Context: s, antireflection coatings, and optical filters. A quantitative analysis of these effects is based on the Fresnel equations, but with additional calculations to account for interference.
Paragraph Title: Multiple surfaces
Source Page: Fresnel equations

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |  |---wordnet_instrumentality_103575240
|  |  |  |---wordnet_device_103183080
|  |  |  |  |---wordnet_instrument_103574816
|  |  |  |  |  |---wordnet_instrument_103574816_rest

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_1000219390.8584939354040508 1
wordnet_instrumentality_1035752401.3990344144517444 1
wordnet_conveyance_103100490-1.5940081874995509 0
wordnet_medium_106254669-1.5063158700462718 0
wordnet_device_1031830801.2181734157967314 1
wordnet_instrument_1035748160.714418435431366 1
wordnet_weapon_104565375-0.7222818792552027 0
wordnet_memory_device_103744840-1.0007509570904385 0
wordnet_machine_103699975-1.1665031915599742 0
wordnet_mechanism_103738472-1.1128723059144197 0
wordnet_musical_instrument_103800933-1.2229685563869557 0
wordnet_container_103094503-1.1702302838521794 0
wordnet_equipment_103294048-1.1168605811458912 0
wordnet_system_104377057-1.105191486604092 0
wordnet_structure_104341686-1.7965576805511643 0
wordnet_facility_103315023-1.7567598003047646 0
wordnet_creation_103129123-1.5440433729579692 0
wordnet_article_100022903-1.5052849660189873 0
wordnet_commodity_103076708-1.2959541871243958 0
wordnet_way_104564698-2.010626648711072 0
wordnet_covering_103122748-1.18549804332435 0
wordnet_event_100029378-1.5426900660987606 0
wordnet_organization_108008335-2.2469826911131365 0
wordnet_person_100007846-2.3341165284466308 0
yagoGeoEntity-1.9692001522869378 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |  |---wordnet_instrumentality_103575240
|  |  |  |---wordnet_conveyance_103100490
|  |  |  |---wordnet_medium_106254669
|  |  |  |---wordnet_device_103183080
|  |  |  |  |---wordnet_instrument_103574816
|  |  |  |  |  |---wordnet_weapon_104565375
|  |  |  |  |---wordnet_memory_device_103744840
|  |  |  |  |---wordnet_machine_103699975
|  |  |  |  |---wordnet_mechanism_103738472
|  |  |  |  |---wordnet_musical_instrument_103800933
|  |  |  |---wordnet_container_103094503
|  |  |  |---wordnet_equipment_103294048
|  |  |  |---wordnet_system_104377057
|  |  |---wordnet_structure_104341686
|  |  |---wordnet_facility_103315023
|  |  |---wordnet_creation_103129123
|  |  |---wordnet_article_100022903
|  |  |---wordnet_commodity_103076708
|  |  |---wordnet_way_104564698
|  |  |---wordnet_covering_103122748
|  |---wordnet_event_100029378
|  |---wordnet_organization_108008335
|  |---wordnet_person_100007846
|  |---yagoGeoEntity
|  |  |---wordnet_structure_104341686
|  |  |---wordnet_facility_103315023
|  |  |---wordnet_way_104564698