Triple
T787236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William H. Foege Global Health Building |
E16830
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | University of Washington Department of Global Health |
E93802
|
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: University of Washington Department of Global Health | Statement: [William H. Foege Global Health Building, affiliation, University of Washington Department of Global Health]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Washington Department of Global Health Context triple: [William H. Foege Global Health Building, affiliation, University of Washington Department of Global Health]
-
A.
University of Washington Department of Global Health
chosen
The University of Washington Department of Global Health is an academic and research unit dedicated to improving health worldwide through interdisciplinary education, scientific innovation, and partnerships in low- and middle-income countries.
-
B.
Center for Global Health Studies
The Center for Global Health Studies is a program within the NIH’s Fogarty International Center that fosters interdisciplinary research, training, and policy dialogue to address complex global health challenges.
-
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.
Center for Global Health
The Center for Global Health is a division of the U.S. Centers for Disease Control and Prevention that leads and coordinates efforts to prevent, detect, and respond to health threats worldwide.
-
E.
Center for Global Health
The Center for Global Health is a division of the U.S. National Cancer Institute that leads and coordinates international efforts to reduce the global burden of cancer through research, partnerships, and capacity-building.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a78171908190a38a70274bfbebf9 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67efd612481909580fbef3605dcbc |
completed | March 3, 2026, 6:26 a.m. |
Created at: March 1, 2026, 7:38 p.m.