Triple
T20899561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flapper election |
E514632
|
entity |
| Predicate | ageLimitForWomenBefore1928 |
P141616
|
FINISHED |
| Object | 30 |
—
|
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: 30 | Statement: [Flapper election, ageLimitForWomenBefore1928, 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageLimitForWomenBefore1928 Context triple: [Flapper election, ageLimitForWomenBefore1928, 30]
-
A.
statusBefore1935
Indicates the status or condition that an entity had prior to the year 1935.
-
B.
statusBefore1918
Indicates that a particular status, condition, or classification applied to an entity prior to the year 1918.
-
C.
legalStatusAfter1919
Indicates the legal status or condition of an entity as it existed after the year 1919.
-
D.
womenSuffrageGrantedIn
Indicates that women were granted the legal right to vote in a specified place or jurisdiction.
-
E.
firstFemaleHolderDate
Indicates the date on which the first female individual came to hold a given position, title, or role.
- F. None of above. chosen
Provenance (4 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8f92bd88190b59b2131ad1d9aa1 |
completed | April 21, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:47 p.m.