Triple

T19151306
Position Surface form Disambiguated ID Type / Status
Subject University of Pittsburgh School of Medicine E468813 entity
Predicate hasAcademicDepartment P589 FINISHED
Object Department of Radiology NE NERFINISHED

How this triple was built (3 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 Radiology | Statement: [University of Pittsburgh School of Medicine, hasAcademicDepartment, Department of Radiology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Radiology
Context triple: [University of Pittsburgh School of Medicine, hasAcademicDepartment, Department of Radiology]
  • A. 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.
  • B. Department of Radiology
    The Department of Radiology is a medical academic and clinical unit specializing in diagnostic imaging and image-guided interventions within Hacettepe University’s Faculty of Medicine.
  • C. 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.
  • D. Department of Radiology
    The Department of Radiology at the University of British Columbia’s Faculty of Medicine is an academic and clinical unit focused on imaging-based diagnosis, treatment, and research, as well as training radiologists and related specialists.
  • E. Department of Radiology
    The Department of Radiology is an academic and clinical unit specializing in medical imaging for diagnosis and treatment, operating within the Faculty of Medicine at Nahda University in Beni Suef.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Radiology
Target entity description: The Department of Radiology at the University of Pittsburgh School of Medicine is an academic and clinical department specializing in medical imaging, diagnostic radiology, and image-guided therapies, integrating research, education, and patient care.
  • A. Department of Radiology
    The Department of Radiology is an academic medical department specializing in diagnostic imaging and image-guided therapies within the UNC School of Medicine.
  • B. Department of Radiology
    The Department of Radiology is a medical specialty division focused on diagnosing and treating diseases using imaging technologies such as X-rays, CT, MRI, and ultrasound.
  • C. Department of Radiology
    The Department of Radiology at the University of Tokyo’s Faculty of Medicine is a leading academic and clinical center specializing in medical imaging, image-guided diagnosis, and interventional radiology.
  • D. 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.
  • E. Department of Radiology
    The Department of Radiology is a medical academic and clinical unit specializing in diagnostic imaging and image-guided interventions within Hacettepe University’s Faculty of Medicine.
  • F. None of above. chosen

Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97cfaa08190b7085d28fe970108 completed April 20, 2026, 8:53 a.m.
Created at: April 10, 2026, 12:06 p.m.