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Tension Pillars

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

Tension Pillars has 9 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

9 facts·6 predicates·3 sources·1 in dispute

Mostly:balance(4), applied in(1), balances(1)

Maturity scale raw canonical shape-checked rule-derived certified

Balancein disputebalance

Applied inappliedIn

Balancesbalances

Rdfs:labelrdfs:label

  • tension pillars[3]sourceall time · 837

Rdf:typerdf:type

Ontologically BalanceontologicallyBalance

Inbound mentions (5)

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.

areAre(1)

committedAsOntologicalPillarsCommitted As Ontological Pillars(1)

evaluatesAndScoresEvaluates and Scores(1)

evaluatesScoresEvaluates Scores(1)

measuredByMeasured by(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.

9 undated
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appliedInblah/omega/part-843
ex:response
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balanceblah/omega/part-843
ex:freedom
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balanceblah/blocks/part-9
ex:freedom-truth-kindness
—
balanceblah/omega/part-843
ex:kindness
—
balanceblah/omega/part-843
ex:truth
—
balancesblah/omega/837
ex:virtue-triad
—
ontologicallyBalanceblah/omega/part-843
ex:freedom-truth-kindness
—
labelblah/omega/837
tension pillars
—
typeblah/omega/837
ex:ScoringCriteria

References (3)

3 references
  1. [1]Part 8435 facts
    customctx:discord/blah/omega/part-843
  2. [2]Part 91 fact
    customctx:discord/blah/blocks/part-9
  3. [3]omega-8373 facts
    customctx:discord/blah/omega/837
    • full textomega-837
      text/plain2 KBdoc:agent/omega-837/09ff7339-3969-4b55-8739-569141d3d630
      Show excerpt
      [2026-01-12 20:47] therosegoblin: <@1438866165475708979> So. If you’re interested in the architecture I’m building here’s a quick overview of how it works. I have trained a family of Mistral base models through supervised learning on data …

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