Triple

T1898137
Position Surface form Disambiguated ID Type / Status
Subject Fudan University E37627 entity
Predicate hasHospital P105 FINISHED
Object Children’s Hospital of Fudan University
Children’s Hospital of Fudan University is a leading pediatric teaching and research hospital in Shanghai affiliated with Fudan University, renowned for specialized child healthcare and clinical innovation.
 E220731 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: Children’s Hospital of Fudan University | Statement: [Fudan University, hasHospital, Children’s Hospital of Fudan University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Children’s Hospital of Fudan University
Context triple: [Fudan University, hasHospital, Children’s Hospital of Fudan University]
  • A. Huashan Hospital affiliated to Fudan University
    Huashan Hospital affiliated to Fudan University is a major teaching and research hospital in Shanghai renowned for its advanced medical services and clinical specialties.
  • B. Zhongshan Hospital affiliated to Fudan University
    Zhongshan Hospital affiliated to Fudan University is a major teaching and research hospital in Shanghai renowned for its comprehensive medical services and clinical excellence.
  • C. Shanghai Children’s Medical Center (affiliated)
    Shanghai Children’s Medical Center (affiliated) is a major pediatric teaching hospital in Shanghai that serves as a clinical and research base for Shanghai Jiao Tong University.
  • D. Sun Yat-sen Memorial Hospital
    Sun Yat-sen Memorial Hospital is a major teaching and research hospital in China affiliated with Sun Yat-sen University.
  • E. The Third Affiliated Hospital of Sun Yat-sen University
    The Third Affiliated Hospital of Sun Yat-sen University is a major teaching and comprehensive medical center in China that provides clinical care, medical education, and research under the auspices of Sun Yat-sen University.
  • 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: Children’s Hospital of Fudan University
Triple: [Fudan University, hasHospital, Children’s Hospital of Fudan University]
Generated description
Children’s Hospital of Fudan University is a leading pediatric teaching and research hospital in Shanghai affiliated with Fudan University, renowned for specialized child healthcare and clinical innovation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Children’s Hospital of Fudan University
Target entity description: Children’s Hospital of Fudan University is a leading pediatric teaching and research hospital in Shanghai affiliated with Fudan University, renowned for specialized child healthcare and clinical innovation.
  • A. Huashan Hospital affiliated to Fudan University
    Huashan Hospital affiliated to Fudan University is a major teaching and research hospital in Shanghai renowned for its advanced medical services and clinical specialties.
  • B. Zhongshan Hospital affiliated to Fudan University
    Zhongshan Hospital affiliated to Fudan University is a major teaching and research hospital in Shanghai renowned for its comprehensive medical services and clinical excellence.
  • C. Shanghai Children’s Medical Center (affiliated)
    Shanghai Children’s Medical Center (affiliated) is a major pediatric teaching hospital in Shanghai that serves as a clinical and research base for Shanghai Jiao Tong University.
  • D. Sun Yat-sen Memorial Hospital
    Sun Yat-sen Memorial Hospital is a major teaching and research hospital in China affiliated with Sun Yat-sen University.
  • E. The Third Affiliated Hospital of Sun Yat-sen University
    The Third Affiliated Hospital of Sun Yat-sen University is a major teaching and comprehensive medical center in China that provides clinical care, medical education, and research under the auspices of Sun Yat-sen University.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb170657481908662089511a8f301 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfba998e88190a4692d3aefa09806 completed March 8, 2026, 10:43 p.m.
NEDg Description generation batch_69adfc2b6a0c8190a9129dc0a930d1b1 completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfd3ecb7881909a6692bb58211c2e completed March 8, 2026, 10:50 p.m.
Created at: March 4, 2026, 7:35 p.m.