Triple
T348556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mizrahi Jews |
E6992
|
entity |
| Predicate | majorMigrationWave |
P2791
|
FINISHED |
| Object | mass immigration to Israel after 1948 |
—
|
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: mass immigration to Israel after 1948 | Statement: [Mizrahi Jews, majorMigrationWave, mass immigration to Israel after 1948]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorMigrationWave Context triple: [Mizrahi Jews, majorMigrationWave, mass immigration to Israel after 1948]
-
A.
migration
Indicates the movement of entities from one location or context to another, often across boundaries or over time.
-
B.
majorImmigrationPeriod
chosen
Indicates that a time interval represents a significant period during which substantial immigration occurred.
-
C.
migrationEvent
Indicates an event in which one or more entities move or relocate from one place or context to another, typically across defined boundaries or regions.
-
D.
demographicImpact
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
E.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1c1c908190b3a01de893207ed1 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e955d1f88190bd687c46fa7c5469 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.