Triple
T18386331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hessian Centre for Artificial Intelligence hessian.AI |
E446601
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | AI research center |
C23578
|
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: AI research center Context triple: [Hessian Centre for Artificial Intelligence hessian.AI, instanceOf, AI research center]
-
A.
machine learning research institute
chosen
A machine learning research institute is an organization dedicated to advancing the theory, algorithms, and applications of machine learning through systematic research, experimentation, and collaboration.
-
B.
AI research tool
An AI research tool is a software system that leverages artificial intelligence techniques to assist in discovering, organizing, analyzing, and generating scientific knowledge and insights.
-
C.
computer science research center
A computer science research center is an institution dedicated to advancing knowledge and innovation in computing through focused research, collaboration, and dissemination of results across areas such as algorithms, systems, artificial intelligence, and human-computer interaction.
-
D.
intelligence research agency
An intelligence research agency is an organization dedicated to systematically collecting, analyzing, and interpreting information to produce actionable insights for strategic, security, or policy decision-making.
-
E.
research and development organization
A research and development organization is an entity dedicated to systematically investigating ideas and technologies to create new knowledge, products, or processes and improve existing ones.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
Created at: April 10, 2026, 10:46 a.m.