Triple
T11210254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INRIA |
E265286
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | French national research institute |
C29361
|
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: French national research institute Context triple: [INRIA, instanceOf, French national research institute]
-
A.
CNES facility
A CNES facility is a specialized site operated by the French space agency (CNES) that supports the development, testing, launch, tracking, and control of space missions and related aerospace activities.
-
B.
federal scientific institution of Belgium
A federal scientific institution of Belgium is a nationally funded research and expertise center that conducts scientific studies, manages collections or data, and provides evidence-based support for federal policy and public services.
-
C.
French public agency network
A French public agency network is an interconnected system of government-funded organizations that collaborate to deliver public services, implement national policies, and coordinate administrative actions across France.
-
D.
French administrative institution
A French administrative institution is a public body or authority established by the French state or local governments to implement laws, deliver public services, and manage administrative functions within the framework of French public law.
-
E.
Fraunhofer Institute
A Fraunhofer Institute is a research organization within the Fraunhofer Society that conducts applied scientific and engineering research to develop practical innovations for industry and society.
- F. None of above. chosen
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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:30 p.m.