Shares
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Shares has 6 facts recorded in Dontopedia across 5 references.
Mostly:all subscribed and paid in full(1), at premium(1), open to(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (6)
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.
acceptsDepositOfAccepts Deposit of(1)
- London Discount and Mortgage Bank
ex:london-discount-and-mortgage-bank
acceptsSecurityAccepts Security(1)
- London Discount and Mortgage Bank
ex:london-discount-and-mortgage-bank
advancesOnSharesAdvances on Shares(1)
- Brisbane Branch London Discount Bank
ex:brisbane-branch-london-discount-bank
appliedForHalfApplied for Half(1)
- Brisbane Applicants
ex:brisbane-applicants
includesIncludes(1)
- User Interactions
ex:user-interactions
includesSameNumberOfIncludes Same Number of(1)
- Good Hope Sale
ex:good-hope-sale
Other facts (6)
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 |
|---|---|---|
| All Subscribed and Paid in Full | Yes | [1] |
| At Premium | 10s. per share | [2] |
| Open to | Shareholders | [2] |
| Within Easy Reach of | Working Man | [3] |
| Changed Hands for Considerable Sums | a few | [4] |
| Instance of | Interaction Types | [5] |
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 (5)
ctx:genes/trove-cooktown/mossman-earlyctx:genes/trove-cooktown/storekeeper-cooktownctx:genes/brackenridge-cairns-1880-1900/trove-new/176704376_Monday-30-January-1888_Advertisingctx:genes/rosie-reynolds-massacre-connection/metadata-reingest/05-trove-nla-gov-au-newspaper-article-1390914-ba728bd7b6cdctx:claims/beam/b87c4edf-60d1-465a-b36d-cd42f7ad0d83- full textbeam-chunktext/plain1 KB
doc:beam/b87c4edf-60d1-465a-b36d-cd42f7ad0d83Show excerpt
By following these steps, you can improve the ranking logic and ensure that your model performs well on the validation set. The key improvements include: 1. **Data Splitting**: Properly splitting the data into training and validation sets.…
See also
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