Triple

T13947922
Position Surface form Disambiguated ID Type / Status
Subject Yokohama City University Hospital E335438 entity
Predicate hasDepartment P35 FINISHED
Object Department of Anesthesiology
The Department of Anesthesiology is a medical specialty unit responsible for administering anesthesia and managing perioperative pain and critical care for patients undergoing procedures at Yokohama City University Hospital.
E1070620 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 Anesthesiology | Statement: [Yokohama City University Hospital, hasDepartment, Department of Anesthesiology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology
Context triple: [Yokohama City University Hospital, hasDepartment, Department of Anesthesiology]
  • A. Department of Anesthesiology
    The Department of Anesthesiology is a clinical and academic unit specializing in anesthesia, perioperative medicine, pain management, and critical care within the University Medical Center Göttingen.
  • B. Department of Anesthesiology
    The Department of Anesthesiology at Charité – Universitätsmedizin Berlin is a leading academic and clinical center specializing in anesthesia, perioperative medicine, pain management, and critical care.
  • C. Department of Anesthesiology
    The Department of Anesthesiology is a clinical and academic unit specializing in anesthesia, perioperative medicine, and pain management within the Faculty of Medicine at Tohoku University.
  • D. Department of Anesthesiology
    The Department of Anesthesiology at Kyoto University's Graduate School of Medicine is an academic and clinical department specializing in anesthesia, perioperative medicine, and pain management research and education.
  • E. Department of Anesthesiology
    The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within Ankara University’s Faculty of Medicine.
  • 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 Anesthesiology
Triple: [Yokohama City University Hospital, hasDepartment, Department of Anesthesiology]
Generated description
The Department of Anesthesiology is a medical specialty unit responsible for administering anesthesia and managing perioperative pain and critical care for patients undergoing procedures at Yokohama City University Hospital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology
Target entity description: The Department of Anesthesiology is a medical specialty unit responsible for administering anesthesia and managing perioperative pain and critical care for patients undergoing procedures at Yokohama City University Hospital.
  • A. Department of Anesthesiology
    The Department of Anesthesiology at the University of Tokyo’s Faculty of Medicine is a clinical and academic unit specializing in anesthesia, perioperative medicine, and pain management research and education.
  • B. Department of Anesthesiology
    The Department of Anesthesiology is a medical specialty division focused on administering anesthesia, managing pain, and ensuring patient safety before, during, and after surgical and diagnostic procedures.
  • C. Department of Anesthesiology
    The Department of Anesthesiology is a clinical and academic unit specializing in anesthesia, perioperative medicine, and pain management within the Faculty of Medicine at Tohoku University.
  • D. Department of Anesthesiology
    The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within Ankara University’s Faculty of Medicine.
  • E. Department of Anesthesiology
    The Department of Anesthesiology is an academic and clinical unit specializing in anesthesia, perioperative medicine, and pain management within Cairo 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e12171c8190b95746bdd4845def completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce903c5c8190b72d83a5b842ad70 completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f9fd5d4abc8190aa10d9f1c9f7f9c9 completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69fb14bfa2c081908381bb74f040c6c8 completed May 6, 2026, 10:15 a.m.
Created at: April 9, 2026, 10:17 p.m.