Dontopedia

Sortby

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

Sortby has 8 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

8 facts·6 predicates·2 sources·1 in dispute

Mostly:rdf:type(2), assigned value(2), has value(1)

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.

usesParameterUses Parameter(1)

usesVariableUses Variable(1)

Other facts (8)

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.

8 facts
PredicateValueRef
Rdf:typeVariable[1]
Rdf:typeString[2]
Assigned Valuecumulative[1]
Assigned Valuecumulative[2]
Has Valuecumulative[1]
Valuecumulative[2]
Used bySort Stats[2]
AffectsStats Sorting[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.

hasValuebeam/2bb6562c-f92e-4764-ae3a-38620d660fb1
cumulative
typebeam/2bb6562c-f92e-4764-ae3a-38620d660fb1
ex:Variable
assignedValuebeam/2bb6562c-f92e-4764-ae3a-38620d660fb1
cumulative
typebeam/75f776d1-ab4d-401c-9c1b-0e4947b7c4ec
ex:string
valuebeam/75f776d1-ab4d-401c-9c1b-0e4947b7c4ec
cumulative
usedBybeam/75f776d1-ab4d-401c-9c1b-0e4947b7c4ec
ex:sort-stats
affectsbeam/75f776d1-ab4d-401c-9c1b-0e4947b7c4ec
ex:stats-sorting
assignedValuebeam/75f776d1-ab4d-401c-9c1b-0e4947b7c4ec
cumulative

References (2)

2 references
  1. ctx:claims/beam/2bb6562c-f92e-4764-ae3a-38620d660fb1
  2. ctx:claims/beam/75f776d1-ab4d-401c-9c1b-0e4947b7c4ec
    • full textbeam-chunk
      text/plain1 KBdoc:beam/75f776d1-ab4d-401c-9c1b-0e4947b7c4ec
      Show excerpt
      Use profiling tools to identify the most time-consuming parts of your code. Tools like `cProfile` in Python can help you understand where the majority of the time is being spent. ### Example Profiling Code ```python import cProfile import

See also

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