Triple
T21909647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Asian diasporas |
E541027
|
entity |
| Predicate | laterMigrationForm |
P83914
|
FINISHED |
| Object | skilled labor migration |
—
|
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: skilled labor migration | Statement: [South Asian diasporas, laterMigrationForm, skilled labor migration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterMigrationForm Context triple: [South Asian diasporas, laterMigrationForm, skilled labor migration]
-
A.
migrationFrom
Indicates that an entity has moved, originated, or been transferred away from a specified source location or context.
-
B.
laterMigrationsTo
chosen
Indicates that one migration event or movement of entities occurred after another in time.
-
C.
verticalMigration
Indicates movement of an entity up and down along a vertical axis, typically in a repeated or cyclical pattern over time.
-
D.
migrationBackground
Indicates that an entity has a personal or familial history of moving from one country or region to another, typically across national borders.
-
E.
enabledMigrationOf
Indicates that one entity made it possible for another entity to move, transfer, or transition from one state, location, or system to another.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d8c3108190a178ec6b3857da3f |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:40 p.m.