Triple
T27678067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish Australians |
E697833
|
entity |
| Predicate | significantImmigrationWave |
P2791
|
FINISHED |
| Object | World War II era |
—
|
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: World War II era | Statement: [Polish Australians, significantImmigrationWave, World War II era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantImmigrationWave Context triple: [Polish Australians, significantImmigrationWave, World War II era]
-
A.
majorImmigrationWaveFrom
Indicates that a significant, large-scale movement of immigrants originated from one place and arrived in another.
-
B.
immigrationWaves
Indicates recurring or significant movements of people migrating into a place over time, often in large or distinct groups.
-
C.
majorImmigrationPeriod
chosen
Indicates that a time interval represents a significant period during which substantial immigration occurred.
-
D.
immigrationFeature
Indicates that an entity possesses a characteristic, policy, or attribute specifically related to immigration.
-
E.
immigratedDuring
Indicates that an entity moved to and settled in a new country or region during a specified time period.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 27, 2026, 2:45 p.m.