Triple
T2052246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine and Health Sciences of McGill University |
E45594
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object | Department of Epidemiology, Biostatistics and Occupational Health |
E45743
|
NE FINISHED |
How this triple was built (2 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 Epidemiology, Biostatistics and Occupational Health | Statement: [Faculty of Medicine and Health Sciences of McGill University, hasUnit, Department of Epidemiology, Biostatistics and Occupational Health]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Epidemiology, Biostatistics and Occupational Health Context triple: [Faculty of Medicine and Health Sciences of McGill University, hasUnit, Department of Epidemiology, Biostatistics and Occupational Health]
-
A.
Department of Epidemiology, Biostatistics and Occupational Health
chosen
The Department of Epidemiology, Biostatistics and Occupational Health is an academic unit at McGill University specializing in research and graduate education on population health, statistical methods, and workplace health risks.
-
B.
Epidemiology Section
The Epidemiology Section is a professional member group within the American Public Health Association that focuses on advancing epidemiologic research, practice, and policy to improve public health.
-
C.
Department of Epidemiology, Harvard T.H. Chan School of Public Health
The Department of Epidemiology at the Harvard T.H. Chan School of Public Health is a leading academic and research department focused on studying the distribution, determinants, and prevention of disease in populations worldwide.
-
D.
Department of Biostatistics
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is a leading academic center for developing and applying statistical methods to advance biomedical, public health, and quantitative science research.
-
E.
Division of International Epidemiology and Population Studies
The Division of International Epidemiology and Population Studies is a research unit focused on global patterns, causes, and control of diseases and population health dynamics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb99078d88190bc30fa4596f0bae8 |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae200c10848190b557332d39f1854d |
completed | March 9, 2026, 1:19 a.m. |
Created at: March 4, 2026, 7:39 p.m.