Triple
T32292067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacDonald White Paper |
E824988
|
entity |
| Predicate | effectOnJewishImmigration |
P185666
|
FINISHED |
| Object | sharp reduction |
—
|
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: sharp reduction | Statement: [MacDonald White Paper, effectOnJewishImmigration, sharp reduction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnJewishImmigration Context triple: [MacDonald White Paper, effectOnJewishImmigration, sharp reduction]
-
A.
setJewishImmigrationQuota
Indicates establishing or adjusting a fixed limit on the number of Jewish immigrants allowed to enter a country or region.
-
B.
effectOnZionism
Indicates how something influences, shapes, or impacts Zionism as an ideology, movement, or set of practices.
-
C.
policyTowardJews
Indicates a stance, approach, or set of actions that an entity adopts specifically in relation to Jewish people.
-
D.
effectOnYishuv
Indicates the impact or consequences that an action, event, or condition has on the Yishuv (the Jewish community or settlement).
-
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. 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7c33d59808190b647989a093f3488 |
completed | May 3, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c29cf36481908e472d4dcb5573b9 |
completed | May 3, 2026, 9:48 p.m. |
Created at: May 1, 2026, 12:44 a.m.