find_entity_linking
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
find_entity_linking has 32 facts recorded in Dontopedia across 4 references, with 3 live disagreements.
Mostly:rdf:type(4), returns(3), uses(2)
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.
contains-functionContains Function(1)
- Code Example
ex:code-example
inFunctionIn Function(1)
- Return Statement
ex:return-statement
Other facts (30)
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 | Function | [1] |
| Rdf:type | Function | [2] |
| Rdf:type | Function | [3] |
| Rdf:type | Function | [4] |
| Returns | label of first search result or original term | [1] |
| Returns | label or term | [2] |
| Returns | Relevant Entity | [4] |
| Uses | Wikidata Api | [1] |
| Uses | requests | [2] |
| Parameter | term | [1] |
| Url Pattern | Api.php?action=wbsearchentities&search={term}&language=en&format=json | [1] |
| Uses Http Method | GET | [1] |
| Parses Response Format | JSON | [1] |
| Checks Condition | data['search'] exists | [1] |
| Returns First Search Result Label | true | [1] |
| Called by | Replace Oov Terms | [1] |
| Has Parameter | term | [2] |
| Queries | Api.php?action=wbsearchentities | [2] |
| Search Parameter | term | [2] |
| Language | en | [2] |
| Format | json | [2] |
| Extracts | label | [2] |
| Parses Response | data = response.json() | [2] |
| Checks | data['search'] | [2] |
| Returns Fallback | term | [2] |
| Returns Type | string | [2] |
| Called With | Term | [3] |
| Is Defined | true | [4] |
| Purpose | Find Relevant Entity | [4] |
| Takes Parameter | Ambiguous Term | [4] |
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 (4)
ctx:claims/beam/55d7f590-9a2e-4dee-9f05-207288cdc405ctx:claims/beam/34094d4f-c249-4e79-922e-dfb9f6ea172a- full textbeam-chunktext/plain1 KB
doc:beam/34094d4f-c249-4e79-922e-dfb9f6ea172aShow excerpt
word_embeddings = KeyedVectors.load_word2vec_format('path/to/word2vec.txt', binary=False) def find_nearest_neighbor(embedding, word_embeddings): min_distance = float('inf') nearest_neighbor = None for word in word_embeddings.in…
ctx:claims/beam/22824b9d-3561-4637-8955-aba85983b393ctx:claims/beam/104f47d4-b023-450e-90a1-1989f29e2feb- full textbeam-chunktext/plain803 B
doc:beam/104f47d4-b023-450e-90a1-1989f29e2febShow excerpt
disambiguated_query = disambiguate_terms(query) print(disambiguated_query) ``` ### Explanation 1. **Entity Linking**: - Define a function `find_entity_linking` to find the most relevant entity for the ambiguous term using a knowledge g…
See also
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