Triple

T19636038
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Nursing, Sohag University E471398 entity
Predicate hasDepartment P35 FINISHED
Object Department of Nursing Administration NE NERFINISHED

How this triple was built (3 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 Nursing Administration | Statement: [Faculty of Nursing, Sohag University, hasDepartment, Department of Nursing Administration]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Nursing Administration
Context triple: [Faculty of Nursing, Sohag University, hasDepartment, Department of Nursing Administration]
  • A. Department of Nursing
    The Department of Nursing is an academic unit within the Sackler Faculty of Medicine that provides education, training, and research in the field of nursing and healthcare.
  • B. Department of Nursing
    The Department of Nursing is an academic unit of the University of the Peloponnese in Greece that provides education and training in nursing science and healthcare.
  • C. Division of Nursing
    The Division of Nursing is the academic unit at the University of West Alabama responsible for educating and training students in professional nursing and related healthcare fields.
  • D. Directorate for Chief Nursing Officer
    The Directorate for Chief Nursing Officer is a Scottish Government division responsible for providing strategic leadership and policy direction on nursing, midwifery, and wider healthcare workforce issues in Scotland.
  • E. Department of Health Management
    The Department of Health Management is an academic unit within Hacettepe University’s Faculty of Health Sciences that focuses on education and research in health policy, administration, and management.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Nursing Administration
Target entity description: The Department of Nursing Administration is an academic unit specializing in the study and training of leadership, management, and organizational practices within nursing and healthcare settings.
  • A. Department of Nursing
    The Department of Nursing is an academic unit within the Sackler Faculty of Medicine that provides education, training, and research in the field of nursing and healthcare.
  • B. Department of Nursing
    The Department of Nursing is an academic unit of the University of the Peloponnese in Greece that provides education and training in nursing science and healthcare.
  • C. Division of Nursing
    The Division of Nursing is the academic unit at the University of West Alabama responsible for educating and training students in professional nursing and related healthcare fields.
  • D. Directorate for Chief Nursing Officer
    The Directorate for Chief Nursing Officer is a Scottish Government division responsible for providing strategic leadership and policy direction on nursing, midwifery, and wider healthcare workforce issues in Scotland.
  • E. Department of Health Management
    The Department of Health Management is an academic unit within Hacettepe University’s Faculty of Health Sciences that focuses on education and research in health policy, administration, and management.
  • F. None of above. chosen

Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641070528819085663c439f50148e completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.