Triple

T17013463
Position Surface form Disambiguated ID Type / Status
Subject School of Health and Related Research E412757 entity
Predicate hasUnit P35 FINISHED
Object health economics and decision science group
The Health Economics and Decision Science Group is a research unit specializing in the economic evaluation of health interventions and the development of decision-analytic methods to inform healthcare policy and practice.
E1247008 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 economics and decision science group | Statement: [School of Health and Related Research, hasUnit, health economics and decision science group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: health economics and decision science group
Context triple: [School of Health and Related Research, hasUnit, health economics and decision science group]
  • A. 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.
  • B. Patient-Centered Outcomes Research Institute
    The Patient-Centered Outcomes Research Institute is an independent, nonprofit organization in the United States that funds and promotes comparative clinical effectiveness research to help patients and clinicians make better-informed healthcare decisions.
  • C. 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.
  • D. Centre for Health Analytics
    The Centre for Health Analytics is a specialized unit within Norway’s public health system that develops and applies advanced data and analytical methods to support evidence-based public health decision-making.
  • E. Centre for Collaboration with Adaptive Health Systems Networks
    The Centre for Collaboration with Adaptive Health Systems Networks is a research and coordination unit within the Norwegian Institute of Public Health focused on improving how health systems learn, adapt, and respond through collaborative 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: health economics and decision science group
Triple: [School of Health and Related Research, hasUnit, health economics and decision science group]
Generated description
The Health Economics and Decision Science Group is a research unit specializing in the economic evaluation of health interventions and the development of decision-analytic methods to inform healthcare policy and practice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: health economics and decision science group
Target entity description: The Health Economics and Decision Science Group is a research unit specializing in the economic evaluation of health interventions and the development of decision-analytic methods to inform healthcare policy and practice.
  • A. 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.
  • B. Patient-Centered Outcomes Research Institute
    The Patient-Centered Outcomes Research Institute is an independent, nonprofit organization in the United States that funds and promotes comparative clinical effectiveness research to help patients and clinicians make better-informed healthcare decisions.
  • C. 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.
  • D. Centre for Health Analytics
    The Centre for Health Analytics is a specialized unit within Norway’s public health system that develops and applies advanced data and analytical methods to support evidence-based public health decision-making.
  • E. Centre for Collaboration with Adaptive Health Systems Networks
    The Centre for Collaboration with Adaptive Health Systems Networks is a research and coordination unit within the Norwegian Institute of Public Health focused on improving how health systems learn, adapt, and respond through collaborative 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47dab688190bf486bcf0b40ed4f completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4990948190861ff81f8fc3e8f2 completed May 10, 2026, 11:56 p.m.
NEDg Description generation batch_6a011cc1afc48190b83e3203407c1d7f completed May 11, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a011d67c82c8190b737406e8952eb2b completed May 11, 2026, 12:05 a.m.
Created at: April 10, 2026, 5:33 a.m.