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Percentage Symbol

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)

Percentage Symbol has 7 facts recorded in Dontopedia across 3 references, with 2 live disagreements.

7 facts·4 predicates·3 sources·2 in dispute

Mostly:rdf:type(3), appears after(2), appears in(1)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Appears Afterin disputeappearsAfter

Appears inappearsIn

  • F String[2]all time · E06228ca 08d1 403f Af94 242c605c308e

Rdfs:labelrdfs:label

  • Percent Sign[1]all time · 24a59b01 4068 4e13 B167 381a86503453

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.

endsWithEnds With(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.

7 undated
—
appearsAfterbeam/24a59b01-4068-4e13-b167-381a86503453
ex:overall-completion
—
appearsAfterbeam/24a59b01-4068-4e13-b167-381a86503453
ex:target-coverage
—
appearsInbeam/e06228ca-08d1-403f-af94-242c605c308e
ex:f-string
—
labelbeam/24a59b01-4068-4e13-b167-381a86503453
Percent Sign
—
typebeam/e06228ca-08d1-403f-af94-242c605c308e
ex:CodeElement
—
typebeam/72854eb0-d89d-40b6-8068-2448e36a8835
ex:formatting-character
—
typebeam/24a59b01-4068-4e13-b167-381a86503453
ex:TextLiteral

References (3)

3 references
  1. [1]24a59b01 4068 4e13 B167 381a865034534 facts
    customctx:claims/beam/24a59b01-4068-4e13-b167-381a86503453
  2. [2]E06228ca 08d1 403f Af94 242c605c308e2 facts
    customctx:claims/beam/e06228ca-08d1-403f-af94-242c605c308e
  3. [3]beam-chunk1 fact
    customctx:claims/beam/72854eb0-d89d-40b6-8068-2448e36a8835
    • full textbeam-chunk
      text/plain1 KBdoc:beam/72854eb0-d89d-40b6-8068-2448e36a8835
      Show excerpt
      [Turn 2662] User: I'm trying to optimize my system's performance for handling 6,000 concurrent queries with 99.95% reliability. Can you help me identify potential bottlenecks and suggest optimization techniques? Here's a sample performance …

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