Triple
T8918793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economy of Ukraine |
E212357
|
entity |
| Predicate | laborExportPattern |
P86398
|
FINISHED |
| Object | significant labor migration to EU countries |
—
|
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: significant labor migration to EU countries | Statement: [Economy of Ukraine, laborExportPattern, significant labor migration to EU countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laborExportPattern Context triple: [Economy of Ukraine, laborExportPattern, significant labor migration to EU countries]
-
A.
defaultExportPattern
Indicates a pattern or convention used when something is exported as the default member from a module or context.
-
B.
laborNumber
Indicates a relationship where a specific labor or work assignment is identified or referenced by a unique number.
-
C.
laborSet
Indicates that a particular labor, task, or work assignment has been designated or scheduled for an entity or context.
-
D.
laborDataSource
Indicates the source from which labor-related data or information is obtained.
-
E.
laborSystem
Indicates the type or structure of work organization, employment arrangements, and labor relations that govern how work is performed and managed.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6613639881909090d060f388a865 |
completed | April 1, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed0ef3c81908cc69eac852ee12a |
completed | March 31, 2026, 11:54 p.m. |
| PDg | Predicate description generation | batch_69cc600a59708190ae426044bbcd7929 |
completed | April 1, 2026, midnight |
Created at: March 30, 2026, 6:56 p.m.