Classifier Instance:

Anchor text: server
Target Entity: Server_\u0028computing\u0029
Preceding Context: Larger computer systems might use newer architectures such as NUMA (Non-Uniform Memory Access), which dedicates different memory banks to different processors. In a NUMA architecture, processors may access local memory quickly and remote memory more slowly. This can dramatically improve memory throughput as long as the data are localized to specific processes (and thus processors). On the downside, NUMA makes the cost of moving data from one processor to another, as in workload balancing, more expensive. The benefits of NUMA are limited to particular workloads, notably on
Succeeding Context: s where the data are often associated strongly with certain tasks or users.
Paragraph Title: Alternatives
Source Page: Symmetric multiprocessing

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_person_100007846
|  |  |---wordnet_worker_109632518
|  |  |  |---wordnet_worker_109632518_rest

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-0.2906041564929964 0
wordnet_event_100029378-1.4350147710830339 0
wordnet_organization_108008335-3.4943407849068886 0
wordnet_person_1000078460.19644612205850365 1
wordnet_contestant_109613191-2.3054104786091028 0
wordnet_peer_109626238-1.8245689144476689 0
wordnet_intellectual_109621545-3.0002870825051446 0
wordnet_female_109619168-1.9411646266373486 0
wordnet_communicator_109610660-2.874028514754147 0
wordnet_ruler_110541229-2.2307725187337017 0
wordnet_adult_109605289-2.429881006462271 0
wordnet_entertainer_109616922-2.462696302903449 0
wordnet_leader_109623038-2.730750264352301 0
wordnet_worker_1096325181.621597429990179 1
wordnet_skilled_worker_110605985-1.9827370029895903 0
wordnet_scientist_110560637-1.5148859668250647 0
wordnet_creator_109614315-2.215330970305078 0
wordnet_traveler_109629752-1.5117023013718685 0
wordnet_disputant_109615465-2.51337072074492 0
wordnet_preserver_110466918-1.6500807286035413 0
wordnet_unfortunate_109630641-1.9771441436979338 0
wordnet_expert_109617867-1.4957180133368775 0
wordnet_adjudicator_109769636-2.222840104424294 0
wordnet_good_person_110138767-2.2975961827307376 0
wordnet_authority_109824609-1.7205541810135423 0
wordnet_combatant_109939313-1.4592307176667538 0
yagoGeoEntity-2.3833865398985075 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |---wordnet_event_100029378
|  |---wordnet_organization_108008335
|  |---wordnet_person_100007846
|  |  |---wordnet_contestant_109613191
|  |  |---wordnet_peer_109626238
|  |  |---wordnet_intellectual_109621545
|  |  |---wordnet_female_109619168
|  |  |---wordnet_communicator_109610660
|  |  |---wordnet_ruler_110541229
|  |  |---wordnet_adult_109605289
|  |  |---wordnet_entertainer_109616922
|  |  |---wordnet_leader_109623038
|  |  |---wordnet_worker_109632518
|  |  |  |---wordnet_skilled_worker_110605985
|  |  |---wordnet_scientist_110560637
|  |  |---wordnet_creator_109614315
|  |  |---wordnet_traveler_109629752
|  |  |---wordnet_disputant_109615465
|  |  |---wordnet_preserver_110466918
|  |  |---wordnet_unfortunate_109630641
|  |  |---wordnet_expert_109617867
|  |  |---wordnet_adjudicator_109769636
|  |  |---wordnet_good_person_110138767
|  |  |---wordnet_authority_109824609
|  |  |---wordnet_combatant_109939313
|  |---yagoGeoEntity