Triple
T760068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Information Networking Institute (Carnegie Mellon University) |
E16047
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | academic and research institute |
C4278
|
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: academic and research institute Context triple: [Information Networking Institute (Carnegie Mellon University), instanceOf, academic and research institute]
-
A.
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.
-
B.
university institute
chosen
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.
-
C.
research university
A research university is a higher education institution that prioritizes the creation of new knowledge through extensive research activities while offering a broad range of undergraduate and graduate academic programs.
-
D.
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.
-
E.
research organization
A research organization is an institution that systematically investigates specific questions or problems to generate new knowledge, technologies, or insights, often within scientific, academic, or applied domains.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
Created at: March 1, 2026, 7:37 p.m.