Triple
T19151315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Pittsburgh School of Medicine |
E468813
|
entity |
| Predicate | hasAcademicDepartment |
P589
|
FINISHED |
| Object | Department of Immunology |
—
|
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: Department of Immunology | Statement: [University of Pittsburgh School of Medicine, hasAcademicDepartment, Department of Immunology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Immunology Context triple: [University of Pittsburgh School of Medicine, hasAcademicDepartment, Department of Immunology]
-
A.
Department of Immunology
The Department of Immunology at Osaka University’s Graduate School of Medicine is an academic and research unit focused on understanding the immune system and its roles in health and disease.
-
B.
Department of Immunology
The Department of Immunology at Kyoto University's Graduate School of Medicine is an academic and research unit focused on understanding the immune system and its roles in health and disease.
-
C.
Division of Immunology
The Division of Immunology is a research unit focused on studying the immune system and related diseases within the National Institute for Medical Research.
-
D.
Institute of Medical Immunology
The Institute of Medical Immunology is a specialized research and clinical center focused on immune system biology and related diseases within Charité – Universitätsmedizin Berlin.
-
E.
Department of Clinical Immunology
The Department of Clinical Immunology is a medical specialty unit focused on diagnosing, treating, and researching immune system disorders and related diseases.
- 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: Department of Immunology Target entity description: The Department of Immunology at the University of Pittsburgh School of Medicine is a research and academic unit focused on understanding the immune system and training scientists and clinicians in immunological science.
-
A.
Department of Immunology
The Department of Immunology at Osaka University’s Graduate School of Medicine is an academic and research unit focused on understanding the immune system and its roles in health and disease.
-
B.
Department of Immunology
The Department of Immunology at Kyoto University's Graduate School of Medicine is an academic and research unit focused on understanding the immune system and its roles in health and disease.
-
C.
Division of Immunology
The Division of Immunology is a research unit focused on studying the immune system and related diseases within the National Institute for Medical Research.
-
D.
Institute of Medical Immunology
The Institute of Medical Immunology is a specialized research and clinical center focused on immune system biology and related diseases within Charité – Universitätsmedizin Berlin.
-
E.
Department of Clinical Immunology
The Department of Clinical Immunology is a medical specialty unit focused on diagnosing, treating, and researching immune system disorders and related diseases.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97cfaa08190b7085d28fe970108 |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:06 p.m.