Triple
T7687091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia Tech Lorraine |
E174145
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Georgia Institute of Technology campus |
C22678
|
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: Georgia Institute of Technology campus Context triple: [Georgia Tech Lorraine, instanceOf, Georgia Institute of Technology campus]
-
A.
Carnegie Mellon University campus
The Carnegie Mellon University campus is a compact, urban academic environment in Pittsburgh that integrates cutting-edge research facilities, interdisciplinary learning spaces, and green courtyards to support innovation, collaboration, and student life.
-
B.
Duke University campus
Duke University campus is a picturesque, Gothic-inspired academic environment in Durham, North Carolina, featuring iconic stone architecture, expansive wooded grounds, and state-of-the-art research and athletic facilities.
-
C.
George Mason University campus
George Mason University campus is a large, modern suburban university environment featuring academic buildings, residence halls, research facilities, and green spaces that support student life, learning, and community activities.
-
D.
MIT campus building
An MIT campus building is a physical structure on the Massachusetts Institute of Technology grounds that provides specialized spaces for education, research, administration, or student life activities.
-
E.
UCSF campus
UCSF campus is a network of specialized medical and research facilities in San Francisco dedicated to health sciences education, patient care, and biomedical innovation.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
Created at: March 27, 2026, 4:02 p.m.