Triple

T16335415
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, Necmettin Erbakan University E396664 entity
Predicate hasDepartment P35 FINISHED
Object Department of Public Health
The Department of Public Health is an academic unit within Necmettin Erbakan University's Faculty of Medicine that focuses on population health, disease prevention, and health promotion through education and research.
E1207741 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: [Faculty of Medicine, Necmettin Erbakan University, hasDepartment, Department of Public Health]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Public Health
Context triple: [Faculty of Medicine, Necmettin Erbakan University, hasDepartment, Department of Public Health]
  • A. 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.
  • B. Department of Public Health
    The Department of Public Health is an academic unit within the University of Chile’s Faculty of Medicine dedicated to research, teaching, and policy guidance on population health and health systems.
  • C. Department of Public Health
    The Department of Public Health is an academic unit focused on education and research in population health, disease prevention, and health policy within the Falk College of Sport and Human Dynamics.
  • D. Department of Public Health
    The Department of Public Health is an academic unit within Ankara University’s Faculty of Medicine that focuses on population health, disease prevention, and health policy research and education.
  • E. Department of Public Health
    The Department of Public Health is an academic unit specializing in population health, disease prevention, and health policy within Hacettepe University’s Faculty of Medicine.
  • 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: [Faculty of Medicine, Necmettin Erbakan University, hasDepartment, Department of Public Health]
Generated description
The Department of Public Health is an academic unit within Necmettin Erbakan University's Faculty of Medicine that focuses on population health, disease prevention, and health promotion through education and research.
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 within Necmettin Erbakan University's Faculty of Medicine that focuses on population health, disease prevention, and health promotion through education and research.
  • A. Department of Public Health
    The Department of Public Health is an academic unit within Ankara University’s Faculty of Medicine that focuses on population health, disease prevention, and health policy research and education.
  • B. Department of Public Health
    The Department of Public Health is an academic unit specializing in population health, disease prevention, and health policy within Hacettepe University’s Faculty of Medicine.
  • 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 the University of Tokyo’s Faculty of Medicine is an academic and research unit focused on population health, epidemiology, health policy, and preventive medicine.
  • E. 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.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e29db88190936a07deb5b1c1e3 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0026193a3c81909c640426ab798c1c completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0029e310d481909db381ad98eda654 completed May 10, 2026, 6:46 a.m.
NED2 Entity disambiguation (via description) batch_6a002a3c898c8190a34e01b5827a7e95 completed May 10, 2026, 6:48 a.m.
Created at: April 10, 2026, 5:07 a.m.