Triple

T17310621
Position Surface form Disambiguated ID Type / Status
Subject Martin McKee E420284 entity
Predicate memberOf P10 FINISHED
Object European Observatory on Health Systems and Policies
The European Observatory on Health Systems and Policies is a partnership-based research and knowledge hub that analyzes and supports the development of health systems and health policy across Europe.
E1261407 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: European Observatory on Health Systems and Policies | Statement: [Martin McKee, memberOf, European Observatory on Health Systems and Policies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: European Observatory on Health Systems and Policies
Context triple: [Martin McKee, memberOf, European Observatory on Health Systems and Policies]
  • A. Centre for Health Policy
    The Centre for Health Policy is a research and advisory unit within Norway’s national public health institute that focuses on health policy analysis, evaluation, and evidence-based decision-making.
  • B. Centre for Collaboration with Systems for Health Policy Networks
    The Centre for Collaboration with Systems for Health Policy Networks is a specialized unit within Norway’s public health sector that supports evidence-informed health policy through systems thinking and international collaboration.
  • C. World Health Organization Council on the Economics of Health for All
    The World Health Organization Council on the Economics of Health for All is a high-level advisory body that rethinks and promotes economic policies to prioritize health as a global public good and central goal of development.
  • D. Centre for Health Economics
    The Centre for Health Economics is a research unit specializing in the economic analysis of health and healthcare systems within the Norwegian Institute of Public Health.
  • E. Centre for Collaboration with Systems for Health Finance Networks
    The Centre for Collaboration with Systems for Health Finance Networks is a specialized unit within the Norwegian Institute of Public Health focused on improving health systems through research and coordination of health financing networks.
  • 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: European Observatory on Health Systems and Policies
Triple: [Martin McKee, memberOf, European Observatory on Health Systems and Policies]
Generated description
The European Observatory on Health Systems and Policies is a partnership-based research and knowledge hub that analyzes and supports the development of health systems and health policy across Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: European Observatory on Health Systems and Policies
Target entity description: The European Observatory on Health Systems and Policies is a partnership-based research and knowledge hub that analyzes and supports the development of health systems and health policy across Europe.
  • A. Centre for Health Policy
    The Centre for Health Policy is a research and advisory unit within Norway’s national public health institute that focuses on health policy analysis, evaluation, and evidence-based decision-making.
  • B. Centre for Collaboration with Systems for Health Policy Networks
    The Centre for Collaboration with Systems for Health Policy Networks is a specialized unit within Norway’s public health sector that supports evidence-informed health policy through systems thinking and international collaboration.
  • C. World Health Organization Council on the Economics of Health for All
    The World Health Organization Council on the Economics of Health for All is a high-level advisory body that rethinks and promotes economic policies to prioritize health as a global public good and central goal of development.
  • D. Centre for Health Economics
    The Centre for Health Economics is a research unit specializing in the economic analysis of health and healthcare systems within the Norwegian Institute of Public Health.
  • E. Centre for Collaboration with Systems for Health Finance Networks
    The Centre for Collaboration with Systems for Health Finance Networks is a specialized unit within the Norwegian Institute of Public Health focused on improving health systems through research and coordination of health financing networks.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399837b08190b7cf74201b3cb013 completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e5043081908f31c2434e9b9647 completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a0182e466e8819096f61fb74d4147c5 completed May 11, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_6a01840ddbb08190a542faba4ca26e5a completed May 11, 2026, 7:23 a.m.
Created at: April 10, 2026, 5:43 a.m.