Ner Extraction
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Ner Extraction has 8 facts recorded in Dontopedia across 2 references.
Mostly:across articles(1), confirms absence(1), found person entity(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
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.
usedInContextUsed in Context(1)
- Spa Cy En Core Web Lg
ex:spaCy-en-core-web-lg
usesUses(1)
- Query Expansion
ex:query-expansion
Other facts (8)
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 |
|---|---|---|
| Across Articles | 191K | [1] |
| Confirms Absence | Brackenridge at Cooktown | [1] |
| Found Person Entity | Brackenridge | [1] |
| Scoped to | Cooktown | [1] |
| Used Model | spaCy en_core_web_lg | [1] |
| Reliable Evidence | true | [1] |
| Rdf:type | Expansion Method | [2] |
| Uses | Spacy | [2] |
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 (2)
ctx:genes/george-brackenridge/exhaustive-newspaper-searchctx:claims/beam/b27efc86-7008-4384-852a-049d06d255cb- full textbeam-chunktext/plain1 KB
doc:beam/b27efc86-7008-4384-852a-049d06d255cbShow excerpt
entities = [(ent.text, ent.label_) for ent in doc.ents] # Extract synonyms for each token synonyms = [] for token in tokens: pos = get_wordnet_pos(nltk.pos_tag([token])[0][1]) synsets = wordnet.synsets(t…
See also
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