Triple

T2080519
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, Kyoto University E45227 entity
Predicate hasDepartment P35 FINISHED
Object Department of Radiology, Kyoto University
The Department of Radiology at Kyoto University is an academic and clinical unit specializing in diagnostic imaging, interventional radiology, and related research and education within the university’s medical faculty.
E231421 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, Kyoto University | Statement: [Faculty of Medicine, Kyoto University, hasDepartment, Department of Radiology, Kyoto University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Radiology, Kyoto University
Context triple: [Faculty of Medicine, Kyoto University, hasDepartment, Department of Radiology, Kyoto University]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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, Kyoto University
Triple: [Faculty of Medicine, Kyoto University, hasDepartment, Department of Radiology, Kyoto University]
Generated description
The Department of Radiology at Kyoto University is an academic and clinical unit specializing in diagnostic imaging, interventional radiology, and related research and education within the university’s medical faculty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Radiology, Kyoto University
Target entity description: The Department of Radiology at Kyoto University is an academic and clinical unit specializing in diagnostic imaging, interventional radiology, and related research and education within the university’s medical faculty.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba345be48190a1895f388e7749e5 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae273ad87c8190a7b1407868692202 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae27b2c9d08190b1950abd8d41d3b3 completed March 9, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae2817ce3c81908e48170760cf98ef completed March 9, 2026, 1:53 a.m.
Created at: March 4, 2026, 7:41 p.m.