Triple

T787223
Position Surface form Disambiguated ID Type / Status
Subject William H. Foege Global Health Building E16830 entity
Predicate partOf P40 FINISHED
Object University of Washington Department of Global Health
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.
E93802 NE FINISHED

How this triple was built (4 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, partOf, 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, partOf, University of Washington Department of Global Health]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Milken Institute School of Public Health
    The Milken Institute School of Public Health is George Washington University’s public health school, known for its programs and research in global health, health policy, and population health.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: University of Washington Department of Global Health
Triple: [William H. Foege Global Health Building, partOf, University of Washington Department of Global Health]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: University of Washington Department of Global Health
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Milken Institute School of Public Health
    The Milken Institute School of Public Health is George Washington University’s public health school, known for its programs and research in global health, health policy, and population health.
  • F. None of above. chosen

Provenance (5 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_69a6787eac608190acc40d56f827284e completed March 3, 2026, 5:58 a.m.
NEDg Description generation batch_69a67a663f6c819084b5dffdde3531aa completed March 3, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69a67b1d50b0819088232ad797babced completed March 3, 2026, 6:09 a.m.
Created at: March 1, 2026, 7:38 p.m.