Triple
T17393901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leibniz Institute of Plant Biochemistry |
E422899
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | non-university research institute |
C24747
|
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 institute Context triple: [Leibniz Institute of Plant Biochemistry, instanceOf, non-university research institute]
-
A.
non-university research institution
chosen
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.
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.
-
C.
graduate research institute
A graduate research institute is an advanced academic organization dedicated to conducting specialized research and offering postgraduate education and training in focused fields of study.
-
D.
former research institute
A former research institute is an organization that previously conducted systematic investigation and study in a specific field but has since ceased operations, changed its primary function, or been dissolved.
-
E.
university institute
A university institute is an organizational unit within a university that focuses on specialized research, education, and collaboration in a particular academic or interdisciplinary field.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 10, 2026, 5:45 a.m.