Classifier Instance:

Anchor text: VLSI
Target Entity: Very\u002dlarge\u002dscale_integration
Preceding Context: A number of "special-purpose" systems have been designed, dedicated to a single problem. This allows the use of specially programmed FPGA chips or even custom
Succeeding Context: chips, allowing higher price/performance ratios by sacrificing generality. Examples of special-purpose supercomputers include Belle, Deep Blue, and Hydra, for playing chess, Gravity Pipe for astrophysics, for protein structure computation
Paragraph Title: null
Source Page: Supercomputer

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |  |---wordnet_instrumentality_103575240
|  |  |  |---wordnet_device_103183080
|  |  |  |  |---wordnet_device_103183080_rest

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_1000219390.20711376395510842 1
wordnet_instrumentality_1035752401.053872889528155 1
wordnet_conveyance_103100490-1.5409109192259005 0
wordnet_medium_106254669-2.075767615407335 0
wordnet_device_1031830800.8511057693382521 1
wordnet_instrument_103574816-1.2602385389787307 0
wordnet_memory_device_103744840-1.17001464969527 0
wordnet_machine_103699975-0.9652330262786064 0
wordnet_mechanism_103738472-0.839766667203283 0
wordnet_musical_instrument_103800933-1.0930552993151172 0
wordnet_container_103094503-1.720141676892878 0
wordnet_equipment_103294048-1.2841865681042088 0
wordnet_system_104377057-1.1178522267651714 0
wordnet_structure_104341686-2.6004126312789344 0
wordnet_facility_103315023-1.8628036641923496 0
wordnet_creation_103129123-1.6689480284757172 0
wordnet_article_100022903-1.4845003848301663 0
wordnet_commodity_103076708-1.3398349891188774 0
wordnet_way_104564698-2.1400095101272014 0
wordnet_covering_103122748-1.3260932981607898 0
wordnet_event_100029378-1.8592381232896062 0
wordnet_organization_108008335-0.08932580466578127 0
wordnet_person_100007846-2.5077008262176683 0
yagoGeoEntity-3.0048706175728452 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |  |---wordnet_instrumentality_103575240
|  |  |  |---wordnet_conveyance_103100490
|  |  |  |---wordnet_medium_106254669
|  |  |  |---wordnet_device_103183080
|  |  |  |  |---wordnet_instrument_103574816
|  |  |  |  |---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