Jane
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)
Jane has 13 facts recorded in Dontopedia across 6 references, with 1 live disagreement.
Mostly:rdf:type(3), resides in(1), age in months(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedResides inresidesIn
- New Guinea[1]all time · Cooktown Hospital Registers
Inbound mentions (9)
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.
adds-team-memberAdds Team Member(1)
- Usage Example
ex:usage-example
hasCaptainHas Captain(1)
- Ardoonoonol
ex:ardoonoonol
hasMemberHas Member(1)
- John Jane Bob
ex:john-jane-bob
mentionsPersonMentions Person(1)
- Qsa Itm6820 Dr57971 Page 109
ex:qsa-itm6820-dr57971-page-109
motherMother(1)
- George Prewitt
ex:george-prewitt
possible-valuesPossible Values(1)
- Name Field
ex:name-field
presupposesExistenceOfChildPresupposes Existence of Child(1)
- Willie
ex:willie
Other facts (11)
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 | Team Member | [4] |
| Rdf:type | Person Name | [5] |
| Rdf:type | Person Name | [6] |
| Age in Months | 8 | [1] |
| Gender | Girl | [1] |
| Is Daughter of | Willie | [1] |
| Is Child of | Ruby | [1] |
| Police Checked on Her | Forest Creek | [2] |
| Got Bit of Surprise | null | [3] |
| People Worried Police Checked on Her | null | [3] |
| Is Member of | Name Domain | [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 (6)
ctx:genes/cooktown-hospital-registersctx:genes/rosie-reynolds-massacre-connection/catchup-archive-downloads-batch-036ctx:genes/rosie-reynolds-massacre-connection/catchup-archive-downloads-batch-040ctx:claims/beam/623530df-cc5c-4784-80a5-245ee292d7edctx:claims/beam/b00c301c-c592-4cd6-ad07-b1de426fb5c4- full textbeam-chunktext/plain970 B
doc:beam/b00c301c-c592-4cd6-ad07-b1de426fb5c4Show excerpt
This approach should help you identify the most common date formats in your dataset and pinpoint the root cause of the inconsistencies. [Turn 4500] User: I want to evaluate the performance of OpenRefine in cleaning metadata. Can you help m…
ctx:claims/beam/336f50f5-6e67-42bf-b2f1-406aa219718e- full textbeam-chunktext/plain1 KB
doc:beam/336f50f5-6e67-42bf-b2f1-406aa219718eShow excerpt
[Turn 4501] Assistant: Certainly! To evaluate the performance of OpenRefine in cleaning metadata, you can generate a test dataset with various inconsistencies and then compare the results of OpenRefine's cleaning against a manually cleaned …
See also
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