Triple

T5195198

Position	Surface form	Disambiguated ID	Type / Status
Subject	Graduate School of Medicine, Kobe University	`E117252`	entity
Predicate	hasDivision	`P35`	FINISHED
Object	Department of Public Health The Department of Public Health is an academic unit specializing in research and education on population health, disease prevention, and health policy within Kobe University’s Graduate School of Medicine.	`E501627`	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 Public Health | Statement: [Graduate School of Medicine, Kobe University, hasDivision, Department of Public Health]

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

Target entity: Department of Public Health
Context triple: [Graduate School of Medicine, Kobe University, hasDivision, Department of Public Health]

A. Department of Public Health
The Department of Public Health at the University of Tokyo’s Faculty of Medicine is an academic and research unit focused on population health, epidemiology, health policy, and preventive medicine.
B. Department of Public Health
The Department of Public Health is a local government agency responsible for protecting and promoting community health through services such as disease prevention, health education, and environmental health oversight.
C. Department of Public Health
The Department of Public Health is an academic unit within Tohoku University's Faculty of Medicine that focuses on research and education in population health, disease prevention, and health policy.
D. Department of Public Health
The Department of Public Health at Osaka University’s Graduate School of Medicine is an academic and research unit focused on population health, disease prevention, and health policy.
E. Office of Public Health
The Office of Public Health is a division of New York State’s health department responsible for protecting and promoting population health through disease prevention, health surveillance, and community health programs.
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 Public Health
Triple: [Graduate School of Medicine, Kobe University, hasDivision, Department of Public Health]

Generated description

The Department of Public Health is an academic unit specializing in research and education on population health, disease prevention, and health policy within Kobe University’s Graduate School of Medicine.

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

Target entity: Department of Public Health
Target entity description: The Department of Public Health is an academic unit specializing in research and education on population health, disease prevention, and health policy within Kobe University’s Graduate School of Medicine.

A. Department of Public Health
The Department of Public Health at the University of Tokyo’s Faculty of Medicine is an academic and research unit focused on population health, epidemiology, health policy, and preventive medicine.
B. Department of Public Health
The Department of Public Health is an academic unit within Tohoku University's Faculty of Medicine that focuses on research and education in population health, disease prevention, and health policy.
C. Department of Public Health
The Department of Public Health is a local government agency responsible for protecting and promoting community health through services such as disease prevention, health education, and environmental health oversight.
D. Department of Public Health
The Department of Public Health at Osaka University’s Graduate School of Medicine is an academic and research unit focused on population health, disease prevention, and health policy.
E. Office of Public Health
The Office of Public Health is a division of New York State’s health department responsible for protecting and promoting population health through disease prevention, health surveillance, and community health programs.
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_69bd4462ed04819084fcb01eb9d2fa74`	completed	March 20, 2026, 12:58 p.m.
NER	Named-entity recognition	`batch_69bd79f2935c81909b4e33904b89e818`	completed	March 20, 2026, 4:46 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69bee09a347081909c2c6c4a2362d7dd`	completed	March 21, 2026, 6:16 p.m.
NEDg	Description generation	`batch_69bee62f493881909e8b484534e75359`	completed	March 21, 2026, 6:40 p.m.
NED2	Entity disambiguation (via description)	`batch_69bee6d1eae481909f3861b7c0adc2fd`	completed	March 21, 2026, 6:43 p.m.

Created at: March 20, 2026, 1:46 p.m.