Triple
T32292052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacDonald White Paper |
E824988
|
entity |
| Predicate | immigrationPolicyAfterQuota |
P143755
|
FINISHED |
| Object | subject to Arab consent |
—
|
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: subject to Arab consent | Statement: [MacDonald White Paper, immigrationPolicyAfterQuota, subject to Arab consent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immigrationPolicyAfterQuota Context triple: [MacDonald White Paper, immigrationPolicyAfterQuota, subject to Arab consent]
-
A.
immigrationPolicyFocus
Indicates a relationship where an immigration policy is primarily directed toward or emphasizes a particular issue, group, or aspect of immigration.
-
B.
immigrationQuotaBasis
Indicates the criterion or basis used to determine or allocate an immigration quota.
-
C.
limitedImmigrationFrom
Indicates that an entity restricts or caps the number or conditions of immigrants coming from a specified source entity.
-
D.
immigrationFeature
chosen
Indicates that an entity possesses a characteristic, policy, or attribute specifically related to immigration.
-
E.
increasedAnnualImmigrationCeiling
Indicates that the annual limit on immigration has been raised to allow more immigrants per year.
- 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_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. |
Created at: May 1, 2026, 12:44 a.m.