Triple
T33838697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African New Zealanders |
E867302
|
entity |
| Predicate | historicalMigrationIncrease |
P157268
|
FINISHED |
| Object | late 20th century |
—
|
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: late 20th century | Statement: [African New Zealanders, historicalMigrationIncrease, late 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalMigrationIncrease Context triple: [African New Zealanders, historicalMigrationIncrease, late 20th century]
-
A.
historicalMigrationFactor
Indicates that the relationship or condition is influenced by patterns, causes, or consequences of past human migration.
-
B.
historicalMigrationType
Indicates the type or category of migration that occurred in a historical context between entities.
-
C.
historicalPopulationMovement
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
-
D.
haveHistoricalMigrationWavesSince
chosen
Indicates that there have been one or more significant migration waves involving the subject entity starting from a specified historical time onward.
-
E.
immigrationWaves
Indicates recurring or significant movements of people migrating into a place over time, often in large or distinct groups.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a002249ee388190a9501ee7630dc658 |
completed | May 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_6a002189273881909b6b687e2d61f5b1 |
completed | May 10, 2026, 6:11 a.m. |
Created at: May 1, 2026, 1:47 a.m.