Triple
T27489405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WWAMI region |
E693838
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | multi‑state training consortium |
C9354
|
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: multi‑state training consortium Context triple: [WWAMI region, instanceOf, multi‑state training consortium]
-
A.
multinational consortium
A multinational consortium is a collaborative alliance of independent organizations from multiple countries that pool resources, expertise, and risks to pursue shared objectives or large-scale projects.
-
B.
national training center
A national training center is a centralized facility dedicated to providing standardized, high-level education, skill development, and certification programs that support a country’s strategic workforce, professional, or athletic objectives.
-
C.
U.S. national consortium
A U.S. national consortium is a collaborative alliance of organizations, institutions, or agencies across the United States that pool resources, expertise, and efforts to achieve shared goals on a national scale.
-
D.
consortium of colleges
chosen
A consortium of colleges is a collaborative association of independent higher education institutions that coordinate resources, programs, and services to enhance academic offerings and operational efficiency for their students and faculty.
-
E.
multi-academy trust
A multi-academy trust is an organization that oversees and manages a group of state-funded schools (academies) under a single governance and leadership structure.
- 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 27, 2026, 1:04 p.m.