Triple
T9785952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iranian diaspora |
E237490
|
entity |
| Predicate | historicalWaveOfMigration |
P11725
|
FINISHED |
| Object | pre-1979 student migration |
—
|
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: pre-1979 student migration | Statement: [Iranian diaspora, historicalWaveOfMigration, pre-1979 student migration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalWaveOfMigration Context triple: [Iranian diaspora, historicalWaveOfMigration, pre-1979 student migration]
-
A.
historicalPopulationMovement
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
-
B.
historicalMigrationType
chosen
Indicates the type or category of migration that occurred in a historical context between entities.
-
C.
majorImmigrationPeriod
Indicates that a time interval represents a significant period during which substantial immigration occurred.
-
D.
centuryOfMajorMigration
Indicates the century during which a major migration event involving the entity took place.
-
E.
historicalEthnicGroups
Indicates that there is a historically attested ethnic group or groups associated with the subject 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda2107f688190b2cab1509c508319 |
completed | April 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:27 p.m.