Triple

T1792692
Position Surface form Disambiguated ID Type / Status
Subject Oregon Health Authority E39532 entity
Predicate hasDivision P35 FINISHED
Object Health Policy and Analytics Division
The Health Policy and Analytics Division is a unit of the Oregon Health Authority responsible for developing, analyzing, and guiding health policy and data-driven strategies to improve health outcomes in Oregon.
E200532 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: Health Policy and Analytics Division | Statement: [Oregon Health Authority, hasDivision, Health Policy and Analytics Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Health Policy and Analytics Division
Context triple: [Oregon Health Authority, hasDivision, Health Policy and Analytics Division]
  • A. 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.
  • B. 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.
  • C. Division of Policy, Evaluation and Training
    The Division of Policy, Evaluation and Training is a specialized unit within the UN Department of Safety and Security responsible for developing security policies, assessing their effectiveness, and providing training to enhance safety and security practices across the United Nations system.
  • D. Office of Policy Development and Research
    The Office of Policy Development and Research is a research and policy analysis division within the U.S. federal government that studies housing and urban development issues to inform national housing policy and programs.
  • E. Office of Policy Analysis and Development
    The Office of Policy Analysis and Development is a division within the U.S. National Telecommunications and Information Administration that conducts research and provides policy guidance on telecommunications and information policy issues.
  • 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: Health Policy and Analytics Division
Triple: [Oregon Health Authority, hasDivision, Health Policy and Analytics Division]
Generated description
The Health Policy and Analytics Division is a unit of the Oregon Health Authority responsible for developing, analyzing, and guiding health policy and data-driven strategies to improve health outcomes in Oregon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Health Policy and Analytics Division
Target entity description: The Health Policy and Analytics Division is a unit of the Oregon Health Authority responsible for developing, analyzing, and guiding health policy and data-driven strategies to improve health outcomes in Oregon.
  • A. 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.
  • B. 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.
  • C. Division of Policy, Evaluation and Training
    The Division of Policy, Evaluation and Training is a specialized unit within the UN Department of Safety and Security responsible for developing security policies, assessing their effectiveness, and providing training to enhance safety and security practices across the United Nations system.
  • D. Office of Policy Development and Research
    The Office of Policy Development and Research is a research and policy analysis division within the U.S. federal government that studies housing and urban development issues to inform national housing policy and programs.
  • E. Office of Policy Analysis and Development
    The Office of Policy Analysis and Development is a division within the U.S. National Telecommunications and Information Administration that conducts research and provides policy guidance on telecommunications and information policy issues.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa653b02448190bc475bc22187f5b0 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d26afc81909675064289d3a5b8 completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb69b142c81909dd8bd40e8e440ad completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8bac99081908cf126d42c609559 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.