Triple
T30132614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German federal election, 1919 |
E765885
|
entity |
| Predicate | womenVotersParticipated |
P44277
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [German federal election, 1919, womenVotersParticipated, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenVotersParticipated Context triple: [German federal election, 1919, womenVotersParticipated, true]
-
A.
approximateWomenVotersAdded
Indicates an estimated number of women voters that were added to a voter pool or electorate.
-
B.
suffrageIncludes
chosen
Indicates that the scope of a group’s voting rights or electoral franchise extends to and encompasses the specified category of people or entities.
-
C.
womenSuffrageGrantedIn
Indicates that women were granted the legal right to vote in a specified place or jurisdiction.
-
D.
womenStatus
Indicates the social, legal, economic, or cultural position or condition assigned to women within a given context or system.
-
E.
womenRepresentationMechanism
Indicates the mechanism or process through which women’s representation or participation is ensured, structured, or facilitated in a given context.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f22477d1a081908df2b7e6ed16859d |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67e491014819080bd41f2195f92c0 |
completed | May 2, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:15 p.m.