Triple

T13947921
Position Surface form Disambiguated ID Type / Status
Subject Yokohama City University Hospital E335438 entity
Predicate hasDepartment P35 FINISHED
Object Department of Emergency Medicine
The Department of Emergency Medicine is a hospital division specializing in the rapid assessment and treatment of patients with acute illnesses or injuries requiring immediate medical attention.
E165467 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 Emergency Medicine | Statement: [Yokohama City University Hospital, hasDepartment, Department of Emergency Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Emergency Medicine
Context triple: [Yokohama City University Hospital, hasDepartment, Department of Emergency Medicine]
  • A. Department of Emergency Medicine
    The Department of Emergency Medicine at Shanghai Jiao Tong University Affiliated Ruijin Hospital is a major clinical and academic center providing acute and critical care, emergency diagnostics, and trauma services in Shanghai.
  • B. Department of Emergency Medicine
    The Department of Emergency Medicine at Charité – Universitätsmedizin Berlin is a leading clinical and academic center specializing in acute and critical care, emergency diagnostics, and research in emergency medical services.
  • C. Section on Emergency Medicine
    The Section on Emergency Medicine is a specialized group within the American Academy of Pediatrics that focuses on improving emergency care for infants, children, and adolescents through education, advocacy, and research.
  • D. Department of Medicine
    The Department of Medicine at AIIMS Delhi is a leading academic and clinical center in India, renowned for advanced patient care, medical education, and research in internal medicine.
  • E. Department of Medicine
    The Department of Medicine at King George’s Medical University is a core clinical department responsible for teaching, research, and comprehensive adult patient care in internal 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 Emergency Medicine
Triple: [Yokohama City University Hospital, hasDepartment, Department of Emergency Medicine]
Generated description
The Department of Emergency Medicine is a hospital division specializing in the rapid assessment and treatment of patients with acute illnesses or injuries requiring immediate medical attention.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Emergency Medicine
Target entity description: The Department of Emergency Medicine is a hospital division specializing in the rapid assessment and treatment of patients with acute illnesses or injuries requiring immediate medical attention.
  • A. Department of Emergency Medicine chosen
    The Department of Emergency Medicine at Charité – Universitätsmedizin Berlin is a leading clinical and academic center specializing in acute and critical care, emergency diagnostics, and research in emergency medical services.
  • B. Department of Emergency Medicine
    The Department of Emergency Medicine at Shanghai Jiao Tong University Affiliated Ruijin Hospital is a major clinical and academic center providing acute and critical care, emergency diagnostics, and trauma services in Shanghai.
  • C. Section on Emergency Medicine
    The Section on Emergency Medicine is a specialized group within the American Academy of Pediatrics that focuses on improving emergency care for infants, children, and adolescents through education, advocacy, and research.
  • D. Department of Medicine
    The Department of Medicine at AIIMS Delhi is a leading academic and clinical center in India, renowned for advanced patient care, medical education, and research in internal medicine.
  • E. Department of Medicine
    The Department of Medicine at NYU Grossman School of Medicine is a major academic clinical department focused on internal medicine education, research, and patient care.
  • F. None of above.

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.