Triple
T25844468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Gerald Niznick College of Dentistry |
E651026
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | college of dentistry |
C49451
|
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: college of dentistry Context triple: [Dr. Gerald Niznick College of Dentistry, instanceOf, college of dentistry]
-
A.
dental college
chosen
A dental college is an educational institution that provides professional training and academic programs in dentistry, preparing students to become qualified dental practitioners and specialists.
-
B.
college of medicine
A college of medicine is an academic institution within a university that provides education, training, and research in medical and health-related fields to prepare students for careers as physicians and other healthcare professionals.
-
C.
dental clinic
A dental clinic is a healthcare facility where licensed dental professionals provide preventive, diagnostic, and restorative oral care services to patients.
-
D.
dental hygienist
A dental hygienist is an oral health professional who cleans teeth, examines patients for signs of oral diseases, and provides preventive care and education under the supervision of a dentist.
-
E.
public medical university
A public medical university is a government-funded higher education institution that provides medical and health sciences education, conducts research, and offers clinical services to train healthcare professionals for public service.
- 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 22, 2026, 7:52 a.m.