Triple
T36977882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard Occupational Classification |
E914747
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | federal statistical standard |
C24956
|
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: federal statistical standard Context triple: [Standard Occupational Classification, instanceOf, federal statistical standard]
-
A.
NIST Federal Information Processing Standard
A NIST Federal Information Processing Standard (FIPS) is a publicly announced, government-mandated standard developed by the National Institute of Standards and Technology to ensure uniform security, interoperability, and reliability for federal information systems and related technologies.
-
B.
international statistical standard
An international statistical standard is a globally agreed framework of concepts, definitions, classifications, and methods that ensures data are collected, compiled, and reported in a consistent and comparable way across countries and over time.
-
C.
U.S. federal statistical area
A U.S. federal statistical area is a geographic region defined by the federal government, typically based on population density and economic ties, used for collecting, analyzing, and publishing statistical data.
-
D.
global statistical system
A global statistical system is an integrated framework of institutions, standards, methods, and technologies that collectively produce, share, and govern comparable statistical data across countries and international organizations.
-
E.
statistical standard
chosen
A statistical standard is an agreed-upon set of rules, definitions, and procedures that ensures consistency, comparability, and reliability in the collection, analysis, and reporting of statistical data.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.