amount
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
amount has 7 facts recorded in Dontopedia across 4 references, with 2 live disagreements.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (7)
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.
encapsulatesDataEncapsulates Data(1)
- Budget Class
ex:budget-class
financiallyAcceptedFinancially Accepted(1)
- Overend Tender
ex:overend-tender
hasConsiderableGainHas Considerable Gain(1)
- Central and Northern Traffic
ex:central-and-northern-traffic
hasParameterHas Parameter(1)
- L1 Unstructured
ex:l1_unstructured
isConsiderableIs Considerable(1)
- Bank Overdraft
ex:bank-overdraft
isUnspecifiedIs Unspecified(1)
- Mr Chester Salary
ex:mr-chester-salary
returnsReturns(1)
- Get Amount Method
ex:getAmount-method
Other facts (5)
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 | Monetary Amount | [2] |
| Rdf:type | Financial Attribute | [3] |
| Rdf:type | Parameter Name | [4] |
| Is Dishonest | Debisan | [1] |
| Encapsulation | Private | [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.
References (4)
ctx:genes/rosie-reynolds-massacre-connection/qsa-itm6820-ocr-page/dr57972-page-004-7dd7d8acecc3ctx:claims/beam/ccbc251b-c988-4cec-8342-0e8973baefd9- full textbeam-chunktext/plain1 KB
doc:beam/ccbc251b-c988-4cec-8342-0e8973baefd9Show excerpt
public Budget(double amount) { this.amount = amount; } public void allocate(double amount) { this.amount += amount; } public double getAmount() { return amount; } } // Test the Budget class…
ctx:claims/beam/04087a1e-cf35-44ee-b7cd-10ba529ec279ctx:claims/beam/0942dca0-a3dc-4189-b023-f8a6d3a42637- full textbeam-chunktext/plain1 KB
doc:beam/0942dca0-a3dc-4189-b023-f8a6d3a42637Show excerpt
print("Baseline Output:", baseline_output) # Quantization net.qconfig = torch.quantization.get_default_qconfig('fbgemm') torch.quantization.prepare(net, inplace=True) with torch.no_grad(): net(input_tensor) torch.quantization.convert(n…
See also
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