Triple

T2725796
Position Surface form Disambiguated ID Type / Status
Subject Department of Radiology, University Medical Center Göttingen E60187 entity
Predicate mission P68 FINISHED
Object provide imaging-based diagnosis for patients of University Medical Center Göttingen
The Department of Radiology at University Medical Center Göttingen is a clinical and academic unit specializing in advanced medical imaging to support diagnosis, treatment planning, and patient care across the hospital.
E292470 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: provide imaging-based diagnosis for patients of University Medical Center Göttingen | Statement: [Department of Radiology, University Medical Center Göttingen, mission, provide imaging-based diagnosis for patients of University Medical Center Göttingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: provide imaging-based diagnosis for patients of University Medical Center Göttingen
Context triple: [Department of Radiology, University Medical Center Göttingen, mission, provide imaging-based diagnosis for patients of University Medical Center Göttingen]
  • A. German Institute for Medical Documentation and Information
    The German Institute for Medical Documentation and Information is a federal agency responsible for managing health data, medical information systems, and standards to support healthcare and health policy in Germany.
  • B. National Institute of Biomedical Imaging and Bioengineering
    The National Institute of Biomedical Imaging and Bioengineering is a U.S. federal research institute that advances the development and application of biomedical imaging and bioengineering technologies to improve health.
  • C. RadioGraphics
    RadioGraphics is a peer-reviewed medical journal that focuses on educational review articles and imaging case studies in radiology.
  • D. EIT Health
    EIT Health is a European innovation network that brings together businesses, research institutions, and universities to accelerate healthcare innovation and improve health outcomes across Europe.
  • E. Fraunhofer Institute for Biomedical Engineering IBMT
    The Fraunhofer Institute for Biomedical Engineering IBMT is a German research institute specializing in applied biomedical engineering, including medical technology, biomaterials, and diagnostic systems, as part of the Fraunhofer Society.
  • 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: provide imaging-based diagnosis for patients of University Medical Center Göttingen
Triple: [Department of Radiology, University Medical Center Göttingen, mission, provide imaging-based diagnosis for patients of University Medical Center Göttingen]
Generated description
The Department of Radiology at University Medical Center Göttingen is a clinical and academic unit specializing in advanced medical imaging to support diagnosis, treatment planning, and patient care across the hospital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: provide imaging-based diagnosis for patients of University Medical Center Göttingen
Target entity description: The Department of Radiology at University Medical Center Göttingen is a clinical and academic unit specializing in advanced medical imaging to support diagnosis, treatment planning, and patient care across the hospital.
  • A. German Institute for Medical Documentation and Information
    The German Institute for Medical Documentation and Information is a federal agency responsible for managing health data, medical information systems, and standards to support healthcare and health policy in Germany.
  • B. National Institute of Biomedical Imaging and Bioengineering
    The National Institute of Biomedical Imaging and Bioengineering is a U.S. federal research institute that advances the development and application of biomedical imaging and bioengineering technologies to improve health.
  • C. RadioGraphics
    RadioGraphics is a peer-reviewed medical journal that focuses on educational review articles and imaging case studies in radiology.
  • D. EIT Health
    EIT Health is a European innovation network that brings together businesses, research institutions, and universities to accelerate healthcare innovation and improve health outcomes across Europe.
  • E. Fraunhofer Institute for Biomedical Engineering IBMT
    The Fraunhofer Institute for Biomedical Engineering IBMT is a German research institute specializing in applied biomedical engineering, including medical technology, biomaterials, and diagnostic systems, as part of the Fraunhofer Society.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdacd7e24819084a620063e3f7aa4 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6982974819089d0ef4a59cc4085 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb7166d788190ac219fe3c3e164fe completed March 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69afb7acf3588190813bde4428dfe5f4 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:55 p.m.