Triple
T11008032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WGL |
E260171
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | non-university research network |
C497
|
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: non-university research network Context triple: [WGL, instanceOf, non-university research network]
-
A.
non-university research institution
A non-university research institution is an organization dedicated primarily to conducting scientific or scholarly research outside the formal structure of a university, often focusing on specialized fields or applied research.
-
B.
research network
chosen
A research network is a structured system of interconnected researchers, institutions, and resources that collaboratively generate, share, and advance knowledge within and across disciplines.
-
C.
public research institution
A public research institution is a government-funded organization dedicated to advancing knowledge and innovation through systematic investigation, experimentation, and dissemination of findings for the benefit of society.
-
D.
network of universities
A network of universities is an interconnected system of higher education institutions that collaborate to share resources, research, programs, and expertise across organizational and geographic boundaries.
-
E.
research consortium
A research consortium is a collaborative alliance of multiple organizations or institutions that pool resources, expertise, and infrastructure to conduct joint research toward shared scientific or technological goals.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:25 p.m.