Success Count
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Success Count is counter for successful corrections.
Mostly:rdf:type(4), accumulates(2), assigned from(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (11)
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.
includesIncludes(2)
- Count Variables
ex:count-variables - Output Content
ex:output-content
accumulatesAccumulates(1)
- Precision
ex:precision
assignedToAssigned to(1)
- Success Count
ex:success_count
displaysDisplays(1)
- Status Output
ex:status-output
hasAttributeHas Attribute(1)
- Spell Corrector Class
ex:spell-corrector-class
printsPrints(1)
- Print Statement
ex:print-statement
showsShows(1)
- Output Display
ex:output-display
tracksMetricTracks Metric(1)
- Successful Builds Variable
ex:successful-builds-variable
updatesUpdates(1)
- Retry Logic
ex:retry-logic
usedInUsed in(1)
- Generator Expression
ex:generator-expression
Other facts (16)
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Variable | [1] |
| Rdf:type | Counter | [2] |
| Rdf:type | Integer | [3] |
| Rdf:type | Counter | [4] |
| Accumulates | Initial Success | [1] |
| Accumulates | Retry Success | [1] |
| Assigned From | Bulk Ingest Logs | [1] |
| Updated by | Retry Logic | [1] |
| Computed From | Results | [3] |
| Condition | result==Success | [3] |
| Calculation Method | generator-expression | [3] |
| Printed | True | [3] |
| Has Value | 0 | [4] |
| Description | counter for successful corrections | [4] |
| Used by | Correct Spelling | [4] |
| Initial Value | 0 | [4] |
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.
References (4)
ctx:claims/beam/3b614581-159c-4b22-9589-288c866db252ctx:claims/beam/8a3db661-f6d7-4ade-86ca-23d4915e9d07- full textbeam-chunktext/plain1 KB
doc:beam/8a3db661-f6d7-4ade-86ca-23d4915e9d07Show excerpt
# Evaluate model on test queries precision = 0 for query in test_queries: # Calculate complexity complexity = calculate_complexity(query) # Apply threshold if complexity > 0.5: …
ctx:claims/beam/18d00a69-62eb-496e-a051-617d337d9fc0- full textbeam-chunktext/plain1 KB
doc:beam/18d00a69-62eb-496e-a051-617d337d9fc0Show excerpt
# Example: Calculate rotation angle based on some property of the operation # Replace with actual logic return np.random.uniform(0, 2 * np.pi) # Random angle for demonstration def apply_rotation(operation, angle): # Exampl…
ctx:claims/beam/28ff3364-2017-4558-946d-63674a03e0f4- full textbeam-chunktext/plain1 KB
doc:beam/28ff3364-2017-4558-946d-63674a03e0f4Show excerpt
self.context_window = 5 # considering 5 words before and after the target word self.common_misspellings = { 'loking': 'looking', 'improove': 'improve', 'spelng': 'spelling' } …
See also
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