Triple
T9263532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hearing4all |
E222637
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Cluster of Excellence |
C6999
|
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: Cluster of Excellence Context triple: [Hearing4all, instanceOf, Cluster of Excellence]
-
A.
center of excellence
chosen
A center of excellence is a dedicated organizational unit that concentrates specialized expertise, best practices, and resources to drive high-quality performance and continuous improvement in a specific domain.
-
B.
University of Cambridge research centre
A University of Cambridge research centre is an institutional unit within the university dedicated to advancing knowledge in specific academic or interdisciplinary fields through coordinated research, collaboration, and dissemination of findings.
-
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.
multidisciplinary research unit
A multidisciplinary research unit is an organized group that integrates expertise, methods, and perspectives from multiple academic or professional fields to collaboratively investigate complex problems and generate comprehensive insights.
-
E.
scholarly institution
A scholarly institution is an organized establishment dedicated to advancing knowledge through research, education, and the dissemination of scholarly work.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
Created at: March 30, 2026, 7:32 p.m.