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Find Entity Linking

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

Find Entity Linking has 50 facts recorded in Dontopedia across 4 references, with 6 live disagreements.

50 facts·37 predicates·4 sources·6 in dispute

Mostly:api parameter(4), api parameter(4), rdf:type(3)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

  • Function[1]all time · 93399bbc Ebe1 4c6b Be2c C95de6e77fa8
  • Function[2]all time · 7af96457 2865 458d 89c2 Afec41b8e7ec
  • Function[3]all time · 38f157db 8944 4f1f 85bb A43db2d03fa9

Has Parameterin disputehasParameter

  • term[2]sourceall time · 7af96457 2865 458d 89c2 Afec41b8e7ec
  • context[2]sourceall time · 7af96457 2865 458d 89c2 Afec41b8e7ec
  • term[1]all time · 93399bbc Ebe1 4c6b Be2c C95de6e77fa8

Api Parameterin disputeapiParameter

  • search={term}[2]sourceall time · 7af96457 2865 458d 89c2 Afec41b8e7ec
  • action=wbsearchentities[2]sourceall time · 7af96457 2865 458d 89c2 Afec41b8e7ec
  • language=en[2]sourceall time · 7af96457 2865 458d 89c2 Afec41b8e7ec
  • format=json[2]sourceall time · 7af96457 2865 458d 89c2 Afec41b8e7ec

Return Valuein disputereturn-value

  • term when search is empty[1]all time · 93399bbc Ebe1 4c6b Be2c C95de6e77fa8
  • data['search'][0]['label'] when search exists[1]all time · 93399bbc Ebe1 4c6b Be2c C95de6e77fa8

Api Parameterin disputeapi-parameter

  • language=en[1]all time · 93399bbc Ebe1 4c6b Be2c C95de6e77fa8
  • format=json[1]all time · 93399bbc Ebe1 4c6b Be2c C95de6e77fa8
  • search={term}[1]all time · 93399bbc Ebe1 4c6b Be2c C95de6e77fa8
  • action=wbsearchentities[1]all time · 93399bbc Ebe1 4c6b Be2c C95de6e77fa8

Conditional Returnin disputeconditionalReturn

  • label if search exists else term[4]all time · 34094d4f C249 4e79 922e Dfb9f6ea172a
  • term if no search results[4]sourceall time · 34094d4f C249 4e79 922e Dfb9f6ea172a

Rdfs:labelrdfs:label

  • find_entity_linking[1]all time · 93399bbc Ebe1 4c6b Be2c C95de6e77fa8
  • find_entity_linking[3]all time · 38f157db 8944 4f1f 85bb A43db2d03fa9

Has Return TypehasReturnType

  • string or term[2]all time · 7af96457 2865 458d 89c2 Afec41b8e7ec

Called bycalledBy

Returns Original TermreturnsOriginalTerm

  • term[2]sourceall time · 7af96457 2865 458d 89c2 Afec41b8e7ec

Returns LabelreturnsLabel

  • data['search'][0]['label'][2]sourceall time · 7af96457 2865 458d 89c2 Afec41b8e7ec

Checks Search ResultchecksSearchResult

  • data['search'][2]sourceall time · 7af96457 2865 458d 89c2 Afec41b8e7ec

Inbound mentions (10)

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.

callsCalls(2)

used-byUsed by(2)

usedInUsed in(2)

decoratesDecorates(1)

importedInImported in(1)

providesEntityLinkingProvides Entity Linking(1)

uses-asyncio-to-threadUses Asyncio to Thread(1)

Other facts (25)

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.

25 facts
PredicateValueRef
Parses Responseresponse.json()[2]
Sends Http Requestrequests.get[2]
Constructs Urlf-string URL[2]
Defined inPython Code Block[2]
Uses Api EndpointApi.php[2]
Returns on Failureterm[2]
Returns on Successlabel[2]
Cached WithLru Cache[3]
String Formattingf-string-interpolation[1]
Called byReplace Oov Terms[1]
Api CallWikidata-search-entities[1]
Is Synchronoustrue[1]
Return Conditionif search results exist returns label else returns term[1]
ReturnsLabel or Original Term[1]
ParsesJson Response[1]
PerformsHttp Get Request[1]
Uses LibraryRequests[1]
Base UrlApi.php[1]
ConstructsWikidata Api Url[1]
Extracts Fromdata['search'][0]['label'][4]
Http MethodGET[4]
External DependencyWikidata API[4]
Handles No Resultreturns original term[4]
Inverse Returnsterm when no search results[4]
Part ofentity resolution system[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.

api-callbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
Wikidata-search-entities
api-parameterbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
language=en
api-parameterbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
format=json
api-parameterbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
search={term}
api-parameterbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
action=wbsearchentities
apiParameterbeam/7af96457-2865-458d-89c2-afec41b8e7ec
search={term}
apiParameterbeam/7af96457-2865-458d-89c2-afec41b8e7ec
action=wbsearchentities
apiParameterbeam/7af96457-2865-458d-89c2-afec41b8e7ec
language=en
apiParameterbeam/7af96457-2865-458d-89c2-afec41b8e7ec
format=json
base-urlbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
https://www.wikidata.org/w/api.php
cachedWithbeam/38f157db-8944-4f1f-85bb-a43db2d03fa9
ex:lru_cache
called-bybeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
ex:replace_oov_terms
calledBybeam/7af96457-2865-458d-89c2-afec41b8e7ec
ex:disambiguate_terms
checksSearchResultbeam/7af96457-2865-458d-89c2-afec41b8e7ec
data['search']
conditionalReturnbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
label if search exists else term
conditionalReturnbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
term if no search results
constructsbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
ex:wikidata-api-url
constructsUrlbeam/7af96457-2865-458d-89c2-afec41b8e7ec
f-string URL
definedInbeam/7af96457-2865-458d-89c2-afec41b8e7ec
ex:python code block
externalDependencybeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
Wikidata API
extractsFrombeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
data['search'][0]['label']
handlesNoResultbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
returns original term
hasParameterbeam/7af96457-2865-458d-89c2-afec41b8e7ec
term
hasParameterbeam/7af96457-2865-458d-89c2-afec41b8e7ec
context
hasParameterbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
term
hasReturnTypebeam/7af96457-2865-458d-89c2-afec41b8e7ec
string or term
httpMethodbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
GET
inverseReturnsbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
term when no search results
is-synchronousbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
true
parsesbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
ex:json-response
parsesResponsebeam/7af96457-2865-458d-89c2-afec41b8e7ec
response.json()
partOfbeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
entity resolution system
performsbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
ex:http-get-request
labelbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
find_entity_linking
labelbeam/38f157db-8944-4f1f-85bb-a43db2d03fa9
find_entity_linking
typebeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
ex:Function
typebeam/7af96457-2865-458d-89c2-afec41b8e7ec
ex:Function
typebeam/38f157db-8944-4f1f-85bb-a43db2d03fa9
ex:Function
return-conditionbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
if search results exist returns label else returns term
returnsbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
ex:label-or-original-term
returnsLabelbeam/7af96457-2865-458d-89c2-afec41b8e7ec
data['search'][0]['label']
returnsOnFailurebeam/7af96457-2865-458d-89c2-afec41b8e7ec
term
returnsOnSuccessbeam/7af96457-2865-458d-89c2-afec41b8e7ec
label
returnsOriginalTermbeam/7af96457-2865-458d-89c2-afec41b8e7ec
term
return-valuebeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
term when search is empty
return-valuebeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
data['search'][0]['label'] when search exists
sendsHttpRequestbeam/7af96457-2865-458d-89c2-afec41b8e7ec
requests.get
string-formattingbeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
f-string-interpolation
usesApiEndpointbeam/7af96457-2865-458d-89c2-afec41b8e7ec
https://www.wikidata.org/w/api.php
uses-librarybeam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
ex:requests

References (4)

4 references
  1. customctx:claims/beam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8
  2. [2]beam-chunk19 facts
    customctx:claims/beam/7af96457-2865-458d-89c2-afec41b8e7ec
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7af96457-2865-458d-89c2-afec41b8e7ec
      Show excerpt
      Here's an example of how you can use a knowledge graph to disambiguate terms: ```python import requests def find_entity_linking(term, context): url = f"https://www.wikidata.org/w/api.php?action=wbsearchentities&search={term}&language=
  3. customctx:claims/beam/38f157db-8944-4f1f-85bb-a43db2d03fa9
  4. [4]beam-chunk8 facts
    customctx: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

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