Triple
T29553435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sderot |
E749840
|
entity |
| Predicate | immigrationWaves |
P167019
|
FINISHED |
| Object | Mizrahi Jews |
—
|
NE NERFINISHED |
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: Mizrahi Jews | Statement: [Sderot, immigrationWaves, Mizrahi Jews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immigrationWaves Context triple: [Sderot, immigrationWaves, Mizrahi Jews]
-
A.
majorImmigrationWaveFrom
Indicates that a significant, large-scale movement of immigrants originated from one place and arrived in another.
-
B.
majorImmigrationPeriod
Indicates that a time interval represents a significant period during which substantial immigration occurred.
-
C.
immigratedDuring
Indicates that an entity moved to and settled in a new country or region during a specified time period.
-
D.
immigrationFeature
Indicates that an entity possesses a characteristic, policy, or attribute specifically related to immigration.
-
E.
immigrationBackground
Indicates that an entity has a personal or familial history of migration from another country or region.
- F. None of above. chosen
Provenance (4 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66cf946f881909d177507a28a657b |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 5:14 p.m.