Triple
T11259737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occupational Employment and Wage Statistics |
E266529
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | employment statistics program |
C2749
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: employment statistics program Context triple: [Occupational Employment and Wage Statistics, instanceOf, employment statistics program]
-
A.
public employment program
A public employment program is a government-initiated scheme that directly creates temporary or permanent jobs, typically in public works or community services, to reduce unemployment and support income for targeted populations.
-
B.
government statistical program
chosen
A government statistical program is an organized, ongoing initiative by a public agency to systematically collect, process, analyze, and disseminate data on specific aspects of the population, economy, or environment to inform policy and public understanding.
-
C.
statistical commission
A statistical commission is a formal body, often within a government or international organization, responsible for overseeing the collection, analysis, standardization, and dissemination of statistical data to support informed decision-making and policy development.
-
D.
statistics agency
A statistics agency is an organization responsible for collecting, analyzing, and disseminating data and statistical information to support decision-making, policy development, and public understanding.
-
E.
statistics department
A statistics department is an academic or organizational unit focused on the study, teaching, and application of statistical theory and methods for analyzing data and drawing informed conclusions.
- F. None of above.
Provenance (1 batch)
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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:31 p.m.