Triple
T32292051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacDonald White Paper |
E824988
|
entity |
| Predicate | setJewishImmigrationQuota |
P173935
|
FINISHED |
| Object | 75,000 over five years |
—
|
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: 75,000 over five years | Statement: [MacDonald White Paper, setJewishImmigrationQuota, 75,000 over five years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setJewishImmigrationQuota Context triple: [MacDonald White Paper, setJewishImmigrationQuota, 75,000 over five years]
-
A.
usedToRestrictEmigrationTo
Indicates that an entity implemented measures or policies to limit or control people leaving a particular place or jurisdiction.
-
B.
restrictedImmigrantsFrom
Indicates that one entity imposed limitations or prohibitions on immigrants originating from another entity.
-
C.
immigrationQuotaBasis
Indicates the criterion or basis used to determine or allocate an immigration quota.
-
D.
usedToRestrictEmigrationFrom
Indicates that something was employed as a means to limit or control people leaving a particular place or country.
-
E.
regionAllocatedToJewishState
Indicates that a specific geographic region has been designated or assigned to be part of the Jewish state.
- 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_69f6bd3500608190ba9e172c0458ff9f |
completed | May 3, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:44 a.m.