Dontopedia

Knowledge Graph Api

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

Knowledge Graph Api has 4 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

4 facts·3 predicates·2 sources·1 in dispute
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.

instanceOfInstance of(1)

usesUses(1)

Other facts (4)

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.

4 facts
PredicateValueRef
ExampleWikidata[1]
ExampleWikidata[2]
Example GivenWikidata[1]
Rdf:typeApi[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.

example-givenbeam/e291337c-ea5f-4b06-b945-66e30c7ea980
Wikidata
examplebeam/e291337c-ea5f-4b06-b945-66e30c7ea980
Wikidata
typebeam/104f47d4-b023-450e-90a1-1989f29e2feb
ex:API
examplebeam/104f47d4-b023-450e-90a1-1989f29e2feb
ex:wikidata

References (2)

2 references
  1. ctx:claims/beam/e291337c-ea5f-4b06-b945-66e30c7ea980
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e291337c-ea5f-4b06-b945-66e30c7ea980
      Show excerpt
      replaced_terms.append(oov_replacements[term]) # Join the replaced terms back into a single string replaced_query = " ".join(replaced_terms) return replaced_query # Test the function query = "What are the b
  2. 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

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