Triple

T9988894
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine of the University of Chile E196835 entity
Predicate hasAcademicUnit P1488 FINISHED
Object 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.
E834309 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 of the University of Chile, hasAcademicUnit, 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 of the University of Chile, hasAcademicUnit, 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 specializing in research and education on population health, disease prevention, and health policy within Kobe University’s Graduate School of Medicine.
  • D. 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.
  • E. 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.
  • 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 of the University of Chile, hasAcademicUnit, Department of Public Health]
Generated description
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.
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 the University of Chile’s Faculty of Medicine dedicated to research, teaching, and policy guidance on population health and health systems.
  • 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. 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79e10408190bcb4e55b6a0df79c completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258190f408190949d50badb3ec6f9 completed April 5, 2026, 12:39 p.m.
NEDg Description generation batch_69d2599e85e88190aad263e8ba169275 completed April 5, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69d25a0cb08481909003b5bdab5c834b completed April 5, 2026, 12:48 p.m.
Created at: March 30, 2026, 8:50 p.m.