Triple

T22667901
Position Surface form Disambiguated ID Type / Status
Subject David Geffen School of Medicine at UCLA E559839 entity
Predicate hasDepartment P35 FINISHED
Object Department of Urology
The Department of Urology at the David Geffen School of Medicine at UCLA is a clinical and academic unit specializing in the diagnosis, treatment, and research of disorders of the urinary tract and male reproductive system.
E1549143 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 Urology | Statement: [David Geffen School of Medicine at UCLA, hasDepartment, Department of Urology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Urology
Context triple: [David Geffen School of Medicine at UCLA, hasDepartment, Department of Urology]
  • A. Department of Urology
    The Department of Urology at Johns Hopkins School of Medicine is a leading academic and clinical center specializing in the research, diagnosis, and treatment of urologic diseases and disorders.
  • B. Department of Urology
    The Department of Urology is a clinical and academic unit within Hacettepe University’s Faculty of Medicine that specializes in the diagnosis, treatment, and research of urinary tract and male reproductive system disorders.
  • C. Department of Urology
    The Department of Urology at Yokohama City University Hospital is a clinical and academic unit specializing in the diagnosis, surgical and medical treatment, and research of urinary tract and male reproductive system disorders.
  • D. Department of Urology
    The Department of Urology is a clinical and academic unit at the University Medical Center Göttingen specializing in the diagnosis, treatment, and research of diseases of the urinary tract and male reproductive system.
  • E. Department of Urology
    The Department of Urology is a clinical and research unit specializing in diseases of the urinary tract and male reproductive system at Charité – Universitätsmedizin Berlin.
  • 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 Urology
Triple: [David Geffen School of Medicine at UCLA, hasDepartment, Department of Urology]
Generated description
The Department of Urology at the David Geffen School of Medicine at UCLA is a clinical and academic unit specializing in the diagnosis, treatment, and research of disorders of the urinary tract and male reproductive system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Urology
Target entity description: The Department of Urology at the David Geffen School of Medicine at UCLA is a clinical and academic unit specializing in the diagnosis, treatment, and research of disorders of the urinary tract and male reproductive system.
  • A. Department of Urology
    The Department of Urology is a clinical and academic unit at the University Medical Center Göttingen specializing in the diagnosis, treatment, and research of diseases of the urinary tract and male reproductive system.
  • B. Department of Urology
    The Department of Urology is a clinical and research unit specializing in diseases of the urinary tract and male reproductive system at Charité – Universitätsmedizin Berlin.
  • C. Department of Urology
    The Department of Urology at Johns Hopkins School of Medicine is a leading academic and clinical center specializing in the research, diagnosis, and treatment of urologic diseases and disorders.
  • D. Department of Urology
    The Department of Urology at Yokohama City University Hospital is a clinical and academic unit specializing in the diagnosis, surgical and medical treatment, and research of urinary tract and male reproductive system disorders.
  • E. Department of Urology
    The Department of Urology is a clinical and academic unit within Hacettepe University’s Faculty of Medicine that specializes in the diagnosis, treatment, and research of urinary tract and male reproductive system disorders.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781ceca08190ba1309570e81c5af completed April 29, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73e7aff48190a2357f66abe29938 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b7629d4448190bc7e2a1fc36f6d6e completed May 18, 2026, 8:27 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7680d4cc8190883974c65a0f53dd completed May 18, 2026, 8:28 p.m.
Created at: April 17, 2026, 3:09 p.m.