Triple

T19926181
Position Surface form Disambiguated ID Type / Status
Subject Kindai University Faculty of Medicine E478927 entity
Predicate hasDepartment P35 FINISHED
Object Department of Pathology
The Department of Pathology at Kindai University Faculty of Medicine is an academic and clinical unit focused on diagnosing disease through the study of tissues, cells, and organs, and on advancing research and education in pathology.
E1403096 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 Pathology | Statement: [Kindai University Faculty of Medicine, hasDepartment, Department of Pathology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Pathology
Context triple: [Kindai University Faculty of Medicine, hasDepartment, Department of Pathology]
  • A. Department of Pathology
    The Department of Pathology is an academic and clinical unit within Cairo University's Faculty of Medicine that focuses on the study, diagnosis, and teaching of disease processes at the tissue and cellular levels.
  • B. Department of Pathology
    The Department of Pathology at the University Medical Center Göttingen is a medical and research unit specializing in the diagnosis of disease through the examination of tissues, organs, and bodily fluids, as well as in pathology-related teaching and scientific research.
  • C. Department of Pathology
    The Department of Pathology at Johns Hopkins School of Medicine is a leading academic and clinical center specializing in the study, diagnosis, and research of human disease.
  • D. Department of Pathology
    The Department of Pathology at NYU Grossman School of Medicine is an academic and clinical department specializing in the study, diagnosis, and research of disease through laboratory and tissue-based analysis.
  • E. Department of Pathology
    The Department of Pathology at the Mahatma Gandhi Institute of Medical Sciences is an academic and diagnostic unit that studies disease mechanisms and provides laboratory services to support medical education, research, and patient care.
  • 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 Pathology
Triple: [Kindai University Faculty of Medicine, hasDepartment, Department of Pathology]
Generated description
The Department of Pathology at Kindai University Faculty of Medicine is an academic and clinical unit focused on diagnosing disease through the study of tissues, cells, and organs, and on advancing research and education in pathology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Pathology
Target entity description: The Department of Pathology at Kindai University Faculty of Medicine is an academic and clinical unit focused on diagnosing disease through the study of tissues, cells, and organs, and on advancing research and education in pathology.
  • A. Department of Pathology
    The Department of Pathology is an academic and clinical unit specializing in the study, diagnosis, and research of disease through laboratory analysis of tissues, organs, and bodily fluids.
  • B. Department of Pathology
    The Department of Pathology is an academic and clinical unit within the Li Ka Shing Faculty of Medicine that focuses on the study, diagnosis, and research of disease processes in human tissues and organs.
  • C. Department of Pathology
    The Department of Pathology at Tohoku University's Faculty of Medicine is an academic unit specializing in the study, diagnosis, and research of disease mechanisms at the tissue, cellular, and molecular levels.
  • D. Department of Pathology
    The Department of Pathology at the Mahatma Gandhi Institute of Medical Sciences is an academic and diagnostic unit that studies disease mechanisms and provides laboratory services to support medical education, research, and patient care.
  • E. Department of Pathology
    The Department of Pathology is an academic and clinical unit within Cairo University's Faculty of Medicine that focuses on the study, diagnosis, and teaching of disease processes at the tissue and cellular levels.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659ca52c881908dc8053bf61be4c4 completed April 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6e1e0308190bdc79950739d83f3 completed May 16, 2026, 4:47 a.m.
NEDg Description generation batch_6a07f8cbaab88190816f279bb29e27f2 completed May 16, 2026, 4:55 a.m.
NED2 Entity disambiguation (via description) batch_6a07f95e72788190ad4105dc21af48b6 completed May 16, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:53 p.m.