Named Entity Recognition (NER)
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Named Entity Recognition (NER) is spaCy's NER can help identify named entities like people, organizations, locations etc which can be useful in reformulating queries.
Mostly:rdf:type(1), step number(1), description(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
illustratesIllustrates(1)
- Example Integration
ex:example-integration
precedesPrecedes(1)
- Step 2 Pos Tagging
ex:step-2-pos-tagging
providedProvided(1)
- Turn 10397
ex:turn-10397
Other facts (7)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Step | [1] |
| Step Number | 3 | [1] |
| Description | spaCy's NER can help identify named entities like people, organizations, locations etc which can be useful in reformulating queries | [1] |
| Identifies | Named Entities | [1] |
| Use Case | Query Reformulation | [1] |
| Precedes | Step 4 Custom Components | [1] |
| Has Capability | Named Entity Recognition | [1] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (1)
ctx:claims/beam/d6381f28-5a05-49b1-adbd-7c11f04acc5e
See also
Keep researching
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