Triple

T8907308
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Children’s Medical Center E212093 entity
Predicate hasDepartment P35 FINISHED
Object Department of Pediatrics
The Department of Pediatrics at Shanghai Children’s Medical Center is a clinical and academic unit specializing in the diagnosis, treatment, and research of diseases and health conditions affecting infants, children, and adolescents.
E766399 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 Pediatrics | Statement: [Shanghai Children’s Medical Center, hasDepartment, Department of Pediatrics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Pediatrics
Context triple: [Shanghai Children’s Medical Center, hasDepartment, Department of Pediatrics]
  • A. Department of Pediatrics
    The Department of Pediatrics is a major clinical and academic unit specializing in the medical care, research, and teaching related to infants, children, and adolescents.
  • B. Department of Pediatrics
    The Department of Pediatrics at the University of Tokyo’s Faculty of Medicine is a clinical and research division specializing in the health, development, and medical care of infants, children, and adolescents.
  • C. Department of Pediatrics
    The Department of Pediatrics at Kobe University's Graduate School of Medicine is an academic and clinical unit specializing in the research, education, and treatment of health conditions affecting infants, children, and adolescents.
  • D. Department of Pediatrics
    The Department of Pediatrics is a clinical and academic unit at King George’s Medical University specializing in the healthcare, treatment, and research of diseases in infants, children, and adolescents.
  • E. Department of Pediatrics
    The Department of Pediatrics at the University of British Columbia is an academic and clinical department focused on the healthcare, research, and education related to infants, children, and adolescents.
  • 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 Pediatrics
Triple: [Shanghai Children’s Medical Center, hasDepartment, Department of Pediatrics]
Generated description
The Department of Pediatrics at Shanghai Children’s Medical Center is a clinical and academic unit specializing in the diagnosis, treatment, and research of diseases and health conditions affecting infants, children, and adolescents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Pediatrics
Target entity description: The Department of Pediatrics at Shanghai Children’s Medical Center is a clinical and academic unit specializing in the diagnosis, treatment, and research of diseases and health conditions affecting infants, children, and adolescents.
  • A. Department of Pediatrics
    The Department of Pediatrics is a major clinical and academic unit specializing in the medical care, research, and teaching related to infants, children, and adolescents.
  • B. Department of Pediatrics
    The Department of Pediatrics at the University of Tokyo’s Faculty of Medicine is a clinical and research division specializing in the health, development, and medical care of infants, children, and adolescents.
  • C. Department of Pediatrics
    The Department of Pediatrics at Cairo University's Faculty of Medicine is an academic and clinical unit specializing in the healthcare, research, and medical education related to infants, children, and adolescents.
  • D. Department of Pediatrics
    The Department of Pediatrics is a clinical and academic unit at Baystate Medical Center specializing in medical care for infants, children, and adolescents.
  • E. Department of Pediatrics
    The Department of Pediatrics is a clinical and academic unit at King George’s Medical University specializing in the healthcare, treatment, and research of diseases in infants, children, and adolescents.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c6a87c81909331a39619f913c0 completed April 1, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba2cb5e48190813e9c08198149b0 completed April 3, 2026, 1:01 p.m.
NEDg Description generation batch_69cfbaf8aa4c8190821ace3f0f53a9b3 completed April 3, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfbb9585688190b3aa3d817bafba51 completed April 3, 2026, 1:07 p.m.
Created at: March 30, 2026, 6:55 p.m.