Triple

T10570107

Position	Surface form	Disambiguated ID	Type / Status
Subject	Graduate School of Medicine, Kyoto University	`E249455`	entity
Predicate	hasUnit	`P35`	FINISHED
Object	Department of Radiology The Department of Radiology at Kyoto University's Graduate School of Medicine is an academic and clinical department specializing in medical imaging, image-guided diagnosis, and radiological research and education.	`E873255`	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: [Graduate School of Medicine, Kyoto University, hasUnit, Department of Radiology]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Department of Radiology
Context triple: [Graduate School of Medicine, Kyoto University, hasUnit, 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 at University Medical Center Göttingen is a clinical and academic unit specializing in medical imaging for diagnosis, treatment planning, and research.
C. 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.
D. 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.
E. 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.
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: [Graduate School of Medicine, Kyoto University, hasUnit, Department of Radiology]

Generated description

The Department of Radiology at Kyoto University's Graduate School of Medicine is an academic and clinical department specializing in medical imaging, image-guided diagnosis, and radiological research and education.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Department of Radiology
Target entity description: The Department of Radiology at Kyoto University's Graduate School of Medicine is an academic and clinical department specializing in medical imaging, image-guided diagnosis, and radiological research and education.

A. 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.
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 Tohoku University's Faculty of Medicine is an academic and clinical unit specializing in medical imaging, image-guided diagnosis, and radiological research and education.
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 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.
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_69d381c8bd708190acf3d275c908251e`	completed	April 6, 2026, 9:50 a.m.
NER	Named-entity recognition	`batch_69d52730fd4481908b3f4eb80ca209f2`	completed	April 7, 2026, 3:48 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69d94b55d0f88190bd6853603f67e88d`	completed	April 10, 2026, 7:11 p.m.
NEDg	Description generation	`batch_69d94f759e7c8190a9e2fd030977584d`	completed	April 10, 2026, 7:28 p.m.
NED2	Entity disambiguation (via description)	`batch_69d952c334448190b1c21964b55a3a68`	completed	April 10, 2026, 7:42 p.m.

Created at: April 6, 2026, 12:37 p.m.