Triple

T19926182
Position Surface form Disambiguated ID Type / Status
Subject Kindai University Faculty of Medicine E478927 entity
Predicate hasDepartment P35 FINISHED
Object Department of Microbiology NE NERFINISHED

How this triple was built (3 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 Microbiology | Statement: [Kindai University Faculty of Medicine, hasDepartment, Department of Microbiology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Microbiology
Context triple: [Kindai University Faculty of Medicine, hasDepartment, Department of Microbiology]
  • A. Department of Microbiology
    The Department of Microbiology at Tohoku University's Faculty of Medicine is an academic unit focused on research and education in microorganisms, infectious diseases, and related biomedical sciences.
  • B. Department of Microbiology
    The Department of Microbiology at Osaka University’s Graduate School of Medicine is an academic and research unit focused on the study of microorganisms and their roles in human health and disease.
  • C. Department of Microbiology
    The Department of Microbiology is an academic and clinical unit at the Mahatma Gandhi Institute of Medical Sciences that focuses on the study, diagnosis, and research of microorganisms and infectious diseases.
  • D. Department of Microbiology
    The Department of Microbiology is an academic unit at the Federal University of Lafia dedicated to teaching and research on microorganisms and their applications in health, industry, and the environment.
  • E. Department of Microbiology
    The Department of Microbiology is an academic unit specializing in the study and research of microorganisms and their applications within the Faculty of Biological Sciences at the University of Nigeria, Nsukka.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Microbiology
Target entity description: The Department of Microbiology at Kindai University’s Faculty of Medicine is an academic and research unit focused on the study of microorganisms and their roles in human health and disease.
  • A. Department of Microbiology
    The Department of Microbiology at Osaka University’s Graduate School of Medicine is an academic and research unit focused on the study of microorganisms and their roles in human health and disease.
  • B. Department of Microbiology
    The Department of Microbiology is an academic unit focused on the study and research of microorganisms and their roles in health, disease, and the environment.
  • C. Department of Microbiology
    The Department of Microbiology at Tohoku University's Faculty of Medicine is an academic unit focused on research and education in microorganisms, infectious diseases, and related biomedical sciences.
  • D. Department of Microbiology
    The Department of Microbiology is an academic and clinical unit at the Mahatma Gandhi Institute of Medical Sciences that focuses on the study, diagnosis, and research of microorganisms and infectious diseases.
  • E. Department of Microbiology
    The Department of Microbiology is an academic and clinical unit specializing in the study, diagnosis, and research of microorganisms and infectious diseases within Medical College Jabalpur.
  • F. None of above. chosen

Provenance (2 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659ca52c881908dc8053bf61be4c4 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.