Triple
T30923882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Materials Research Laboratory at the University of Illinois at Urbana–Champaign |
E787803
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | materials research laboratory |
C50153
|
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 research laboratory Context triple: [Materials Research Laboratory at the University of Illinois at Urbana–Champaign, instanceOf, materials research laboratory]
-
A.
materials science laboratory
chosen
A materials science laboratory is a specialized facility equipped to synthesize, process, and characterize materials in order to understand and optimize their structure, properties, and performance for various applications.
-
B.
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.
-
C.
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.
-
D.
materials scientist
A materials scientist is a professional who studies and engineers the properties, structure, and performance of materials to develop and improve products and technologies.
-
E.
materials science text
A materials science text is a written work that systematically explains the structure, properties, processing, and performance of materials to support understanding, research, and engineering applications.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 8:51 p.m.