Triple
T13989386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Medicine & Health Sciences |
E336526
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Population Health |
E539920
|
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 Population Health | Statement: [School of Medicine & Health Sciences, hasDepartment, Department of Population Health]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Population Health Context triple: [School of Medicine & Health Sciences, hasDepartment, Department of Population Health]
-
A.
Department of Population Health
chosen
The Department of Population Health is an academic and research unit at NYU Grossman School of Medicine focused on studying and improving health outcomes at the community and population levels through epidemiology, health policy, and related disciplines.
-
B.
Department of Population and Family Health
The Department of Population and Family Health is an academic unit at Columbia University’s Mailman School of Public Health that focuses on global population dynamics, reproductive and sexual health, maternal and child health, and related public health policy and practice.
-
C.
Department of Global Health and Population
The Department of Global Health and Population is an academic department at the Harvard T.H. Chan School of Public Health focused on research, education, and policy to improve health and reduce inequalities worldwide.
-
D.
Office of Population Health
The Office of Population Health is a division within the Massachusetts Department of Public Health that focuses on improving health outcomes and reducing health disparities across communities through data-driven policies and programs.
-
E.
Department of Health Policy and Management
The Department of Health Policy and Management is an academic unit at the Harvard T.H. Chan School of Public Health focused on research and education in health policy, health systems, and healthcare management.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb22e388190904fc87765176c91 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9604cc819088cde0ad8271ad48 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:18 p.m.