Dontopedia

Document Body

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-18.)

Document Body has 21 facts recorded in Dontopedia across 5 references, with 4 live disagreements.

21 facts·12 predicates·5 sources·4 in dispute

Mostly:has yaml key(5), rdf:type(3), contains field(3)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (4)

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.

hasBodyHas Body(1)

hasParameterHas Parameter(1)

hasValueHas Value(1)

partOfPart of(1)

Other facts (21)

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.

21 facts
PredicateValueRef
Has Yaml KeyName Key[2]
Has Yaml KeyVersion Key[2]
Has Yaml KeyDescription Key[2]
Has Yaml KeyHomepage Key[2]
Has Yaml KeyMetadata Key[2]
Rdf:typeJson Object[1]
Rdf:typeMarkdown Content[2]
Rdf:typeJson Document[3]
Contains FieldTitle Field[3]
Contains FieldContent Field[3]
Contains FieldTerm Field[4]
Has Markdown HeadingMain Heading[2]
Has Markdown HeadingSkill Files Heading[2]
Contains Keyquery[1]
Has Value for Keyexample query[1]
Has Similar StructureSearch Body[1]
Has Query Fieldexample query[1]
Is Used byDocument Addition[1]
Contains QueryExample Query[1]
Contains Frontmattertrue[2]
Has PartTest Fact[5]

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.

21 undated
—
typebeam/837f35de-3ee9-47a5-a635-98cff17d7ea2
ex:JSONObject
—
containsKeybeam/837f35de-3ee9-47a5-a635-98cff17d7ea2
query
—
hasValueForKeybeam/837f35de-3ee9-47a5-a635-98cff17d7ea2
example query
—
hasSimilarStructurebeam/837f35de-3ee9-47a5-a635-98cff17d7ea2
ex:search-body
—
hasQueryFieldbeam/837f35de-3ee9-47a5-a635-98cff17d7ea2
example query
—
isUsedBybeam/837f35de-3ee9-47a5-a635-98cff17d7ea2
ex:document-addition
—
containsQuerybeam/837f35de-3ee9-47a5-a635-98cff17d7ea2
ex:example-query
—
typeblah/omega/1050
ex:MarkdownContent
—
containsFrontmatterblah/omega/1050
true
—
hasYamlKeyblah/omega/1050
ex:name-key
—
hasYamlKeyblah/omega/1050
ex:version-key
—
hasYamlKeyblah/omega/1050
ex:description-key
—
hasYamlKeyblah/omega/1050
ex:homepage-key
—
hasYamlKeyblah/omega/1050
ex:metadata-key
—
hasMarkdownHeadingblah/omega/1050
ex:main-heading
—
hasMarkdownHeadingblah/omega/1050
ex:skill-files-heading
—
typebeam/84fdeb53-d371-40d5-a9d2-e745627f6849
ex:JSONDocument
—
containsFieldbeam/84fdeb53-d371-40d5-a9d2-e745627f6849
ex:title-field
—
containsFieldbeam/84fdeb53-d371-40d5-a9d2-e745627f6849
ex:content-field
—
containsFieldbeam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
ex:term-field
—
hasPartsmoke/z
ex:test-fact

References (5)

5 references
  1. [1]837f35de 3ee9 47a5 A635 98cff17d7ea27 facts
    ctx:claims/beam/837f35de-3ee9-47a5-a635-98cff17d7ea2
    • full textbeam-chunk
      text/plain836 Bdoc:beam/837f35de-3ee9-47a5-a635-98cff17d7ea2
      Show excerpt
      [Turn 1298] User: I'm trying to build a system to support 3 distinct search modules, each handling 20,000 queries daily with under 250ms latency. I'm considering using Elasticsearch 8.7.0 for sparse retrieval, but I'm not sure if it's the r…
  2. [2]10509 facts
    ctx:discord/blah/omega/1050
    • full textomega-1050
      text/plain2 KBdoc:agent/omega-1050/3ca38bb6-67b1-4341-a951-c6319780a0a8
      Show excerpt
      [2026-02-06 15:06] omega [bot]: 🔧 1/1: webFetch ✅ Success **Args:** ```json { "url": "https://www.moltbook.com/skill.md", "userAgent": "OmegaBot/1.0", "mode": "parsed", "maxRedirects": 10 } ``` **Result:** ```json { "success": tru…
  3. [3]84fdeb53 D371 40d5 A9d2 E745627f68493 facts
    ctx:claims/beam/84fdeb53-d371-40d5-a9d2-e745627f6849
    • full textbeam-chunk
      text/plain1 KBdoc:beam/84fdeb53-d371-40d5-a9d2-e745627f6849
      Show excerpt
      'mappings': { 'properties': { 'title': {'type': 'text'}, 'content': {'type': 'text'} } } }) # Index a document es.index(index='my_index', body={ 'title': 'Example Document', 'content'…
  4. [4]Dc43e263 Ae12 4ebe Aaee B46ef58b17d01 fact
    ctx:claims/beam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
    • full textbeam-chunk
      text/plain1 KBdoc:beam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
      Show excerpt
      'settings': { 'analysis': { 'analyzer': { 'synonym_analyzer': { 'type': 'custom', 'tokenizer': 'standard', 'filter': ['synonym_filter'] …
  5. [5]Z1 fact
    ctx:research/smoke/z
    • full textctx:research/smoke/z
      text/plain10 Bdoc:research/smoke/z
      Show excerpt
      Test fact.…

See also

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