Dontopedia

great

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

great has 9 facts recorded in Dontopedia across 6 references, with 1 live disagreement.

9 facts·3 predicates·6 sources·1 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (28)

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.

feelsFeels(2)

isIs(2)

causesInconvenienceCauses Inconvenience(1)

consumedByConsumed by(1)

describesConversationAsDescribes Conversation As(1)

evaluatedAsEvaluated As(1)

evaluatedEventAsEvaluated Event As(1)

evaluatedPetAsEvaluated Pet As(1)

evaluationEvaluation(1)

ex:emotionalImpactOnEx:emotional Impact on(1)

ex:emotionalQualityEx:emotional Quality(1)

expressesAgreementExpresses Agreement(1)

feelingAfterActivityFeeling After Activity(1)

hasProgressHas Progress(1)

haveAversionToRegularWorkHave Aversion to Regular Work(1)

isDoingIs Doing(1)

mentalWellbeingMental Wellbeing(1)

newsReceptionNews Reception(1)

physicalWellbeingPhysical Wellbeing(1)

praisePraise(1)

praisesRevisedPromptPraises Revised Prompt(1)

qualityQuality(1)

qualityAttributeQuality Attribute(1)

successfulMusicallySuccessful Musically(1)

symptomSeveritySymptom Severity(1)

usesPositiveAssessmentUses Positive Assessment(1)

Other facts (7)

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.

7 facts
PredicateValueRef
Rdf:typeMagnitude[1]
Rdf:typeFeeling State[2]
Rdf:typeExperience Quality[3]
Rdf:typeQuality Assessment[6]
Aggregates Allgreat — type: feeling state, experience quality[4]
Aggregates Allgreat — type: feeling state, experience quality[5]
Dampenssmall[1]

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.

typezarathustra/flies-marketplace
ex:Magnitude
labelzarathustra/flies-marketplace
great
dampenszarathustra/flies-marketplace
small
typelocomo/a7e61a9b-8618-4f7d-9259-4cac70de0bc1
ex:FeelingState
typelocomo/731c2e1c-2f66-453d-b2e3-a5316b4347a3
ex:ExperienceQuality
labellocomo/731c2e1c-2f66-453d-b2e3-a5316b4347a3
great
aggregatesAlllocomo/conv-41/aggregate_rel
great — type: feeling state, experience quality
aggregatesAlllocomo/conv-41/aggrel
great — type: feeling state, experience quality
typelme/641cc3ea-d529-4e78-9647-de8d716ec802
ex:QualityAssessment

References (6)

6 references
  1. ctx:test/zarathustra/flies-marketplace
    • full textctx:test/zarathustra/flies-marketplace
      text/plain6 KBdoc:test/zarathustra/flies-marketplace
      Show excerpt
      THE FLIES IN THE MARKET-PLACE (Thus Spake Zarathustra, Part One / Zarathustra's Discourses XII — Thomas Common translation, Project Gutenberg eBook #1998) Flee, my friend, into thy solitude! I see thee deafened with the noise of the grea
  2. ctx:claims/locomo/a7e61a9b-8618-4f7d-9259-4cac70de0bc1
  3. ctx:claims/locomo/731c2e1c-2f66-453d-b2e3-a5316b4347a3
    • full textbeam-chunk
      text/plain4 KBdoc:beam/731c2e1c-2f66-453d-b2e3-a5316b4347a3
      Show excerpt
      [Session date: 7:34 pm on 18 April, 2023] John: Hey Maria, hope you're doing okay. Since we chatted last, I've been blogging about politics and the government. It's been a really satisfying experience and I care about making a real impact.
  4. [4]Aggregate Rel1 fact
    ctx:claims/locomo/conv-41/aggregate_rel
  5. [5]Aggrel1 fact
    ctx:claims/locomo/conv-41/aggrel
  6. ctx:claims/lme/641cc3ea-d529-4e78-9647-de8d716ec802
    • full textbeam-chunk
      text/plain17 KBdoc:beam/641cc3ea-d529-4e78-9647-de8d716ec802
      Show excerpt
      [Session date: 2023/05/28 (Sun) 07:17] User: I'm trying to work on a project that involves data analysis, and I was wondering if you could recommend some resources for learning more about data visualization in Python? Assistant: Data visual

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