Triple
T21804080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Women’s Day |
E538304
|
entity |
| Predicate | historicProtestIssue |
P28799
|
FINISHED |
| Object | pass laws for black women |
—
|
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: pass laws for black women | Statement: [National Women’s Day, historicProtestIssue, pass laws for black women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicProtestIssue Context triple: [National Women’s Day, historicProtestIssue, pass laws for black women]
-
A.
historicalIssue
Indicates that one entity is a past or previously existing edition, version, or instance of another entity, typically within a chronological sequence.
-
B.
notableProtest
Indicates that an entity is recognized for having led, organized, or been centrally involved in a significant protest or demonstration.
-
C.
majorHistoricalProcess
Indicates a large-scale, transformative sequence of events or developments that significantly shapes the course of history.
-
D.
historicallyOpposedBy
Indicates that one entity has been the target of opposition, resistance, or antagonism from another entity over a historical period.
-
E.
hasPoliticalSignificanceFor
chosen
Indicates that something holds importance, influence, or consequence within the political context or interests of a particular entity.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0780126e88190a93dd8d0519eb8fc |
completed | April 28, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:53 p.m.