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.