Doc Ents
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Doc Ents has 3 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
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.
iteratesOverIterates Over(1)
- Entities Comprehension
ex:entities-comprehension
processesProcesses(1)
- Code Segment
ex:code-segment
providesProvides(1)
- Spacy
ex:spacy
Other facts (3)
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 | Entity Collection | [1] |
| Rdf:type | Document Entities | [2] |
| Member of | Doc Object | [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 (2)
ctx:claims/beam/6f825f15-5c97-4244-84f2-e40ee078d6ae- full textbeam-chunktext/plain1 KB
doc:beam/6f825f15-5c97-4244-84f2-e40ee078d6aeShow excerpt
- **Contextual Relevance**: Consider using a context-aware approach to filter synonyms based on the context of the query. - **Dependency Parsing**: Use dependency parsing to better understand the relationships between words in the query. #…
ctx: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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