Triple

T483067
Position Surface form Disambiguated ID Type / Status
Subject University Medical Center Göttingen E9812 entity
Predicate hasDepartment P35 FINISHED
Object Department of Nuclear Medicine
The Department of Nuclear Medicine is a clinical and research unit specializing in diagnostic imaging and radionuclide-based therapies using radioactive tracers and advanced imaging technologies.
E60457 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: Department of Nuclear Medicine | Statement: [University Medical Center Göttingen, hasDepartment, Department of Nuclear Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Nuclear Medicine
Context triple: [University Medical Center Göttingen, hasDepartment, Department of Nuclear Medicine]
  • A. Department of Radiology
    The Department of Radiology at University Medical Center Göttingen is a clinical and academic unit specializing in medical imaging for diagnosis, treatment planning, and research.
  • B. Department of Radiology
    The Department of Radiology at Cairo University's Faculty of Medicine is an academic and clinical unit specializing in medical imaging education, research, and diagnostic services.
  • C. Department of Radiology, Duke University
    The Department of Radiology at Duke University is a leading academic and clinical radiology center known for advanced imaging research, innovative diagnostic and interventional services, and comprehensive resident and fellowship training.
  • D. Department of Radiology, University of Cambridge
    The Department of Radiology at the University of Cambridge is a leading academic and clinical center for imaging research, education, and diagnostic radiology within the university’s medical school.
  • E. Department of Internal Medicine
    The Department of Internal Medicine at Cairo University's Faculty of Medicine is a major clinical and academic unit responsible for training physicians and providing specialized care across a wide range of adult medical subspecialties.
  • 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: Department of Nuclear Medicine
Triple: [University Medical Center Göttingen, hasDepartment, Department of Nuclear Medicine]
Generated description
The Department of Nuclear Medicine is a clinical and research unit specializing in diagnostic imaging and radionuclide-based therapies using radioactive tracers and advanced imaging technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Nuclear Medicine
Target entity description: The Department of Nuclear Medicine is a clinical and research unit specializing in diagnostic imaging and radionuclide-based therapies using radioactive tracers and advanced imaging technologies.
  • A. Department of Radiology
    The Department of Radiology at University Medical Center Göttingen is a clinical and academic unit specializing in medical imaging for diagnosis, treatment planning, and research.
  • B. Department of Radiology
    The Department of Radiology at Cairo University's Faculty of Medicine is an academic and clinical unit specializing in medical imaging education, research, and diagnostic services.
  • C. Department of Radiology, Duke University
    The Department of Radiology at Duke University is a leading academic and clinical radiology center known for advanced imaging research, innovative diagnostic and interventional services, and comprehensive resident and fellowship training.
  • D. Department of Radiology, University of Cambridge
    The Department of Radiology at the University of Cambridge is a leading academic and clinical center for imaging research, education, and diagnostic radiology within the university’s medical school.
  • E. Department of Internal Medicine
    The Department of Internal Medicine at Cairo University's Faculty of Medicine is a major clinical and academic unit responsible for training physicians and providing specialized care across a wide range of adult medical subspecialties.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0b8fe6081909f8ab87bfda6b2d8 completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4711ea1dc8190ac4bf0efaf0890b7 completed March 1, 2026, 5:02 p.m.
NEDg Description generation batch_69a47275bfd08190ad6a6275b981caf2 completed March 1, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_69a472c4e1708190853f390eeb0edf8a completed March 1, 2026, 5:09 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.