Triple
T25030895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leibniz Institute for Crystal Growth facilities |
E626839
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | materials science research facility |
C63
|
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: materials science research facility Context triple: [Leibniz Institute for Crystal Growth facilities, instanceOf, materials science research facility]
-
A.
materials science institute
A materials science institute is a research and educational organization dedicated to studying, developing, and applying materials and their properties to advance technology and industry.
-
B.
materials science department
A materials science department is an academic and research unit focused on understanding, designing, and improving materials by studying the relationships between their structure, properties, processing, and performance.
-
C.
research facility
chosen
A research facility is a specialized institution equipped with laboratories, instruments, and resources where scientists and experts systematically investigate, experiment, and develop new knowledge or technologies.
-
D.
materials science company
A materials science company researches, develops, and commercializes advanced materials and related technologies to improve the performance, efficiency, and sustainability of products across various industries.
-
E.
research facility area
A research facility area is a designated space within or associated with a research institution where scientific, technical, or experimental activities are conducted, supported, or managed.
- 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
Created at: April 18, 2026, 6:07 a.m.