Triple

T14269716
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, Nahda University in Beni Suef E353746 entity
Predicate hasDepartment P35 FINISHED
Object 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.
E1089363 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, Nahda University in Beni Suef, 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, Nahda University in Beni Suef, hasDepartment, Department of Internal Medicine]
  • A. 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.
  • 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 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.
  • E. 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.
  • 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, Nahda University in Beni Suef, hasDepartment, Department of Internal Medicine]
Generated description
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.
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 at Nahda University in Beni Suef’s Faculty of Medicine, responsible for teaching, research, and patient care in adult internal diseases.
  • 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 is an academic and clinical unit specializing in the study, teaching, and practice of adult medical care and internal diseases.
  • C. 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.
  • D. 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.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32682a0481908918570a778e185a completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd3325e8448190960da169f7f9fe40 completed May 8, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_69fd33fd92608190a0dcaaafe0cfc51a completed May 8, 2026, 12:53 a.m.
Created at: April 10, 2026, 1:10 a.m.