Triple

T16335411
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, Necmettin Erbakan University E396664 entity
Predicate hasDepartment P35 FINISHED
Object 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 the Faculty of Medicine at Necmettin Erbakan University.
E1207739 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: [Faculty of Medicine, Necmettin Erbakan University, 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: [Faculty of Medicine, Necmettin Erbakan University, hasDepartment, Department of Internal Medicine]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Department of Internal Medicine
    The Department of Internal Medicine is a clinical academic unit within the Faculty of Medicine, University of Indonesia, responsible for education, research, and patient care in adult internal medicine and its subspecialties.
  • 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: [Faculty of Medicine, Necmettin Erbakan University, hasDepartment, Department of Internal Medicine]
Generated description
The Department of Internal Medicine is a clinical academic unit specializing in the diagnosis, treatment, and research of adult diseases within the Faculty of Medicine at Necmettin Erbakan University.
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 is a clinical academic unit specializing in the diagnosis, treatment, and research of adult diseases within the Faculty of Medicine at Necmettin Erbakan University.
  • A. Department of Internal Medicine
    The Department of Internal Medicine is a clinical and academic unit within Hacettepe University’s Faculty of Medicine that focuses on the diagnosis, treatment, and research of adult diseases across multiple internal medicine subspecialties.
  • B. Department of Internal Medicine
    The Department of Internal Medicine at Ankara University’s Faculty of Medicine is a major clinical and academic unit responsible for training physicians, conducting research, and providing comprehensive adult medical care across a wide range of internal medicine subspecialties.
  • C. 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.
  • D. Department of Internal Medicine
    The Department of Internal Medicine is a clinical academic unit at Nahda University in Beni Suef’s Faculty of Medicine, responsible for teaching, research, and patient care in adult internal diseases.
  • E. 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.
  • 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.