Classifier Instance:

Anchor text: Poisson distribution
Target Entity: Poisson_distribution
Preceding Context: Self-similarity has important consequences for the design of computer networks, as typical network traffic has self-similar properties. For example, in teletraffic engineering, packet switched data traffic patterns seem to be statistically self-similar. This property means that simple models using a
Succeeding Context: are inaccurate, and networks designed without taking self-similarity into account are likely to function in unexpected ways.
Paragraph Title: Examples
Source Page: Self-similarity

Ground Truth Types:

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|  |  |  |  |---wordnet_procedure_101023820
|  |  |  |  |  |---wordnet_procedure_101023820_rest

Predicted Types:

TypeConfidenceDecision
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wordnet_organization_108008335-2.131226771104174 0
wordnet_person_100007846-2.1116939645231243 0
yagoGeoEntity-2.634410080918687 0
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