Triple

T6409613
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, University of British Columbia E127670 entity
Predicate hasDepartment P35 FINISHED
Object 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.
E590681 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 Radiology | Statement: [Faculty of Medicine, University of British Columbia, hasDepartment, Department of Radiology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Radiology
Context triple: [Faculty of Medicine, University of British Columbia, hasDepartment, Department of Radiology]
  • 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
    The Department of Radiology at University Hospital Zurich is a leading medical imaging center specializing in advanced diagnostic and interventional radiology for patient care, research, and education.
  • D. Department of Radiology
    The Department of Radiology at Tohoku University's Faculty of Medicine is an academic and clinical unit specializing in medical imaging, image-guided diagnosis, and radiological research and education.
  • E. Department of Radiology
    The Department of Radiology is a medical imaging division within New England Baptist Hospital that provides diagnostic and interventional imaging services to support patient care.
  • 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 Radiology
Triple: [Faculty of Medicine, University of British Columbia, hasDepartment, Department of Radiology]
Generated description
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.
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 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.
  • 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 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 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 Kobe University’s Graduate School of Medicine is an academic and clinical unit specializing in imaging-based diagnosis, interventional radiology, and related research and education in medical imaging sciences.
  • E. Department of Radiology
    The Department of Radiology at Tohoku University's Faculty of Medicine is an academic and clinical unit specializing in medical imaging, image-guided diagnosis, and radiological research and education.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068cdf25881908d42a5d979637ad6 completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638b7582481909640965acf261dff completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63b74688881909bb41db1ec89daf6 completed March 27, 2026, 8:10 a.m.
NED2 Entity disambiguation (via description) batch_69c63be025c88190b24cf4168b8194a0 completed March 27, 2026, 8:12 a.m.
Created at: March 22, 2026, 4:41 p.m.