Triple
T18115620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Clinical Medicine |
E433596
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object | Clinical School Office |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Clinical School Office | Statement: [School of Clinical Medicine, parentOrganization, Clinical School Office]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clinical School Office Context triple: [School of Clinical Medicine, parentOrganization, Clinical School Office]
-
A.
School of Medicine
The School of Medicine at Georgetown University is a graduate medical school in Washington, D.C., known for its Jesuit tradition and strong programs in clinical education, biomedical research, and patient-centered care.
-
B.
School of Medicine
The School of Medicine at the University of Utah is a major academic medical center known for training physicians and conducting biomedical research in the Intermountain West region.
-
C.
School of Medicine
The School of Medicine at Keio University is a leading Japanese medical faculty known for its research-intensive programs and training of physicians and medical scientists.
-
D.
School of Medicine
The School of Medicine at the University of Louisville is the university’s medical education and research institution, training physicians and conducting biomedical research.
-
E.
School of Medicine
The School of Medicine at Shenzhen University is a medical education and research institution training healthcare professionals and conducting biomedical research in Shenzhen, China.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clinical School Office Target entity description: The Clinical School Office is an administrative unit that manages and supports the academic, clinical, and operational activities of a university’s School of Clinical Medicine.
-
A.
School of Medicine
The School of Medicine at the University of Louisville is the university’s medical education and research institution, training physicians and conducting biomedical research.
-
B.
School of Medicine
The School of Medicine at the Lebanese American University is a medical education institution that trains future physicians and conducts research within the health sciences.
-
C.
School of Medicine
The School of Medicine at Pusan National University is a medical education and research institution in South Korea that trains future physicians and advances biomedical science.
-
D.
School of Medicine
The School of Medicine at Tsinghua University is a leading Chinese medical education and research institution known for integrating clinical training with cutting-edge biomedical and interdisciplinary science.
-
E.
School of Medicine
The School of Medicine at Shenzhen University is a medical education and research institution training healthcare professionals and conducting biomedical research in Shenzhen, China.
- F. None of above. chosen
Provenance (2 batches)
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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd58ea8819081e2bec5e591e093 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.