Dontopedia

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.

32 facts·24 predicates·4 sources·3 in dispute

Mostly:rdf:type(4), returns(3), uses(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound 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)

inFunctionIn Function(1)

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.

30 facts
PredicateValueRef
Rdf:typeFunction[1]
Rdf:typeFunction[2]
Rdf:typeFunction[3]
Rdf:typeFunction[4]
Returnslabel of first search result or original term[1]
Returnslabel or term[2]
ReturnsRelevant Entity[4]
UsesWikidata Api[1]
Usesrequests[2]
Parameterterm[1]
Url PatternApi.php?action=wbsearchentities&search={term}&language=en&format=json[1]
Uses Http MethodGET[1]
Parses Response FormatJSON[1]
Checks Conditiondata['search'] exists[1]
Returns First Search Result Labeltrue[1]
Called byReplace Oov Terms[1]
Has Parameterterm[2]
QueriesApi.php?action=wbsearchentities[2]
Search Parameterterm[2]
Languageen[2]
Formatjson[2]
Extractslabel[2]
Parses Responsedata = response.json()[2]
Checksdata['search'][2]
Returns Fallbackterm[2]
Returns Typestring[2]
Called WithTerm[3]
Is Definedtrue[4]
PurposeFind Relevant Entity[4]
Takes ParameterAmbiguous 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.

typebeam/55d7f590-9a2e-4dee-9f05-207288cdc405
ex:Function
labelbeam/55d7f590-9a2e-4dee-9f05-207288cdc405
find_entity_linking
parameterbeam/55d7f590-9a2e-4dee-9f05-207288cdc405
term
usesbeam/55d7f590-9a2e-4dee-9f05-207288cdc405
ex:wikidata-api
url-patternbeam/55d7f590-9a2e-4dee-9f05-207288cdc405
https://www.wikidata.org/w/api.php?action=wbsearchentities&search={term}&language=en&format=json
returnsbeam/55d7f590-9a2e-4dee-9f05-207288cdc405
label of first search result or original term
usesHttpMethodbeam/55d7f590-9a2e-4dee-9f05-207288cdc405
GET
parsesResponseFormatbeam/55d7f590-9a2e-4dee-9f05-207288cdc405
JSON
checksConditionbeam/55d7f590-9a2e-4dee-9f05-207288cdc405
data['search'] exists
returnsFirstSearchResultLabelbeam/55d7f590-9a2e-4dee-9f05-207288cdc405
true
calledBybeam/55d7f590-9a2e-4dee-9f05-207288cdc405
ex:replace-oov-terms
typebeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
ex:Function
hasParameterbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
term
returnsbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
label or term
usesbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
requests
queriesbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
https://www.wikidata.org/w/api.php?action=wbsearchentities
searchParameterbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
term
languagebeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
en
formatbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
json
extractsbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
label
parsesResponsebeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
data = response.json()
checksbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
data['search']
returnsFallbackbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
term
labelbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
find_entity_linking
returnsTypebeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
string
typebeam/22824b9d-3561-4637-8955-aba85983b393
ex:Function
calledWithbeam/22824b9d-3561-4637-8955-aba85983b393
ex:term
typebeam/104f47d4-b023-450e-90a1-1989f29e2feb
ex:Function
isDefinedbeam/104f47d4-b023-450e-90a1-1989f29e2feb
true
purposebeam/104f47d4-b023-450e-90a1-1989f29e2feb
ex:find-relevant-entity
takesParameterbeam/104f47d4-b023-450e-90a1-1989f29e2feb
ex:ambiguous-term
returnsbeam/104f47d4-b023-450e-90a1-1989f29e2feb
ex:relevant-entity

References (4)

4 references
  1. ctx:claims/beam/55d7f590-9a2e-4dee-9f05-207288cdc405
  2. ctx:claims/beam/34094d4f-c249-4e79-922e-dfb9f6ea172a
    • full textbeam-chunk
      text/plain1 KBdoc:beam/34094d4f-c249-4e79-922e-dfb9f6ea172a
      Show 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
  3. ctx:claims/beam/22824b9d-3561-4637-8955-aba85983b393
  4. ctx:claims/beam/104f47d4-b023-450e-90a1-1989f29e2feb
    • full textbeam-chunk
      text/plain803 Bdoc:beam/104f47d4-b023-450e-90a1-1989f29e2feb
      Show 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

Keep researching

Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.