Triple

T19669732
Position Surface form Disambiguated ID Type / Status
Subject Bundelkhand Medical College E472300 entity
Predicate hasDepartment P35 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: [Bundelkhand Medical College, hasDepartment, Department of Radiology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Radiology
Context triple: [Bundelkhand Medical College, hasDepartment, Department of Radiology]
  • A. Department of Radiology
    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.
  • 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
    The Department of Radiology is an academic medical department specializing in diagnostic imaging and image-guided therapies within the UNC School of Medicine.
  • 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 is a medical specialty unit that uses imaging technologies such as X-rays, CT scans, MRI, and ultrasound to diagnose and sometimes treat diseases and injuries.
  • A. Department of Radiology chosen
    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.
  • B. Department of Radiology
    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.
  • C. 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.
  • D. Department of Radiology
    The Department of Radiology at Ghent University Hospital is a medical imaging unit that provides diagnostic and interventional radiology services using advanced imaging technologies.
  • 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.

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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416ad1b481908d2890d8c21aac5c completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.