Triple
T2127438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iranian Americans |
E46458
|
entity |
| Predicate | significantMigrationWave |
P2791
|
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: [Iranian Americans, significantMigrationWave, post-1979 Iranian Revolution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantMigrationWave Context triple: [Iranian Americans, significantMigrationWave, post-1979 Iranian Revolution]
-
A.
yearOfMajorMigration
Indicates the specific year in which a significant migration event involving the subject took place.
-
B.
majorImmigrationPeriod
chosen
Indicates that a time interval represents a significant period during which substantial immigration occurred.
-
C.
historicalPopulationMovement
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
-
D.
migration
Indicates the movement of entities from one location or context to another, often across boundaries or over time.
-
E.
historicalMigrationType
Indicates the type or category of migration that occurred in a historical context between entities.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb75033881909b16659fc73945ef |
completed | March 7, 2026, 5:45 a.m. |
| PD | Predicate disambiguation | batch_69abb7bd86cc8190938ef06c1ed6d969 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.