Triple
T10254437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand politics |
E240425
|
entity |
| Predicate | firstCountryWomenVoteParliamentaryElections |
P75074
|
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: [New Zealand politics, firstCountryWomenVoteParliamentaryElections, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCountryWomenVoteParliamentaryElections Context triple: [New Zealand politics, firstCountryWomenVoteParliamentaryElections, true]
-
A.
countryFirstToGrantWomenVote
chosen
Indicates that the subject country was the earliest or among the earliest to legally grant women the right to vote.
-
B.
womenSuffrageGrantedIn
Indicates that women were granted the legal right to vote in a specified place or jurisdiction.
-
C.
firstFemaleHolderDate
Indicates the date on which the first female individual came to hold a given position, title, or role.
-
D.
introducedSuffrageType
Indicates that an entity initiated or brought into effect a particular type or form of suffrage.
-
E.
isFirstFemaleHolderOfOffice
Indicates that a person is the first woman ever to hold a particular office or position.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:30 a.m.