Triple

T14269723
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 Pathology
The Department of Pathology is an academic and clinical unit specializing in the study, diagnosis, and teaching of disease processes within the Faculty of Medicine at Nahda University in Beni Suef.
E1089367 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: [Faculty of Medicine, Nahda University in Beni Suef, hasDepartment, Department of Pathology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Pathology
Context triple: [Faculty of Medicine, Nahda University in Beni Suef, 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 Johns Hopkins School of Medicine is a leading academic and clinical center specializing in the study, diagnosis, and research of human disease.
  • 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 is an academic and clinical unit specializing in the study, diagnosis, and research of disease through laboratory analysis of tissues, organs, and bodily fluids.
  • 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: [Faculty of Medicine, Nahda University in Beni Suef, hasDepartment, Department of Pathology]
Generated description
The Department of Pathology is an academic and clinical unit specializing in the study, diagnosis, and teaching of disease processes within the Faculty of Medicine at Nahda University in Beni Suef.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Pathology
Target entity description: The Department of Pathology is an academic and clinical unit specializing in the study, diagnosis, and teaching of disease processes within the Faculty of Medicine at Nahda University in Beni Suef.
  • 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 is an academic and clinical unit within the Faculty of Medicine at the University of Ruhuna that focuses on the study, diagnosis, and teaching of disease processes.
  • C. Department of Pathology
    The Department of Pathology is an academic and clinical unit specializing in the study, diagnosis, and teaching of disease processes within the Medical College Jabalpur.
  • D. 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.
  • E. 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.
  • 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.