Triple
T32135341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch Iranians |
E820751
|
entity |
| Predicate | mainMigrationWaves |
P167019
|
FINISHED |
| Object | post-1979 Iranian Revolution |
—
|
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: post-1979 Iranian Revolution | Statement: [Dutch Iranians, mainMigrationWaves, post-1979 Iranian Revolution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainMigrationWaves Context triple: [Dutch Iranians, mainMigrationWaves, post-1979 Iranian Revolution]
-
A.
hasMajorMigrationWave
Indicates a significant, large-scale movement of a population from one place to another during a particular period.
-
B.
immigrationWaves
chosen
Indicates recurring or significant movements of people migrating into a place over time, often in large or distinct groups.
-
C.
majorImmigrationWaveFrom
Indicates that a significant, large-scale movement of immigrants originated from one place and arrived in another.
-
D.
migrationBackground
Indicates that an entity has a personal or familial history of moving from one country or region to another, typically across national borders.
-
E.
migration
Indicates the movement of entities from one location or context to another, often across boundaries or over time.
- 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b9a84ff88190ab5a71f7ef1e0dac |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:30 a.m.