Triple

T19926172
Position Surface form Disambiguated ID Type / Status
Subject Kindai University Faculty of Medicine E478927 entity
Predicate hasDepartment P35 FINISHED
Object Department of Internal Medicine
The Department of Internal Medicine at Kindai University Faculty of Medicine is a clinical and academic unit focused on diagnosing, treating, and researching adult diseases across a wide range of internal medicine subspecialties.
E1403090 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 Internal Medicine | Statement: [Kindai University Faculty of Medicine, hasDepartment, Department of Internal Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Internal Medicine
Context triple: [Kindai University Faculty of Medicine, hasDepartment, Department of Internal Medicine]
  • A. Department of Internal Medicine
    The Department of Internal Medicine at Cairo University's Faculty of Medicine is a major clinical and academic unit responsible for training physicians and providing specialized care across a wide range of adult medical subspecialties.
  • B. Department of Internal Medicine
    The Department of Internal Medicine at the University of Tokyo’s Faculty of Medicine is a major academic and clinical unit specializing in the research, education, and treatment of adult diseases across multiple internal medicine subspecialties.
  • C. Department of Internal Medicine
    The Department of Internal Medicine at Osaka University’s Graduate School of Medicine is a clinical and research unit focused on the diagnosis, treatment, and study of adult diseases across multiple internal medicine subspecialties.
  • D. Department of Internal Medicine
    The Department of Internal Medicine is an academic and clinical unit specializing in the study, teaching, and practice of adult medical care and internal diseases.
  • E. Department of Internal Medicine
    The Department of Internal Medicine at Yonsei University College of Medicine is a core clinical department specializing in the diagnosis, treatment, and research of adult diseases across multiple internal medicine subspecialties.
  • 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 Internal Medicine
Triple: [Kindai University Faculty of Medicine, hasDepartment, Department of Internal Medicine]
Generated description
The Department of Internal Medicine at Kindai University Faculty of Medicine is a clinical and academic unit focused on diagnosing, treating, and researching adult diseases across a wide range of internal medicine subspecialties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Internal Medicine
Target entity description: The Department of Internal Medicine at Kindai University Faculty of Medicine is a clinical and academic unit focused on diagnosing, treating, and researching adult diseases across a wide range of internal medicine subspecialties.
  • A. Department of Internal Medicine
    The Department of Internal Medicine at Osaka University’s Graduate School of Medicine is a clinical and research unit focused on the diagnosis, treatment, and study of adult diseases across multiple internal medicine subspecialties.
  • B. Department of Internal Medicine
    The Department of Internal Medicine at Kobe University’s Graduate School of Medicine is an academic and clinical unit focused on research, education, and advanced patient care across a broad range of adult medical specialties.
  • C. Department of Internal Medicine
    The Department of Internal Medicine at the University of Tokyo’s Faculty of Medicine is a major academic and clinical unit specializing in the research, education, and treatment of adult diseases across multiple internal medicine subspecialties.
  • D. Department of Internal Medicine
    The Department of Internal Medicine is an academic and clinical unit specializing in the study, teaching, and practice of adult medical care and internal diseases.
  • E. Department of Internal Medicine
    The Department of Internal Medicine is a clinical academic unit specializing in the diagnosis, treatment, and research of adult diseases within Trakya University’s Faculty 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_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.