Triple
T2127192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistani American |
E46453
|
entity |
| Predicate | typicalMigrationStatus |
P35309
|
FINISHED |
| Object | immigrant |
—
|
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: immigrant | Statement: [Pakistani American, typicalMigrationStatus, immigrant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMigrationStatus Context triple: [Pakistani American, typicalMigrationStatus, immigrant]
-
A.
migration
Indicates the movement of entities from one location or context to another, often across boundaries or over time.
-
B.
historicalMigrationType
Indicates the type or category of migration that occurred in a historical context between entities.
-
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.
migrationPolicy
Indicates the rules or strategies governing how entities move, transfer, or transition from one context, location, or state to another.
-
E.
associatedWithMigration
Indicates a relationship or connection between entities that is linked to, results from, or occurs in the context of migration.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb75033881909b16659fc73945ef |
completed | March 7, 2026, 5:45 a.m. |
| PD | Predicate disambiguation | batch_69abb7bd86cc8190938ef06c1ed6d969 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb895d11881908345032595a679ba |
completed | March 7, 2026, 5:33 a.m. |
Created at: March 4, 2026, 7:44 p.m.