Triple

T350498
Position Surface form Disambiguated ID Type / Status
Subject University of California, San Francisco E7430 entity
Predicate hasHospitalAffiliation P10262 FINISHED
Object San Francisco VA Medical Center
San Francisco VA Medical Center is a major Veterans Affairs hospital and research facility in San Francisco that provides comprehensive healthcare services to U.S. military veterans and serves as a teaching hospital for the University of California, San Francisco.
E44994 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: San Francisco VA Medical Center | Statement: [University of California, San Francisco, hasHospitalAffiliation, San Francisco VA Medical Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Francisco VA Medical Center
Context triple: [University of California, San Francisco, hasHospitalAffiliation, San Francisco VA Medical Center]
  • A. Bethesda Naval Hospital
    Bethesda Naval Hospital, officially the National Naval Medical Center in Bethesda, Maryland, was a major U.S. military medical facility known for treating presidents and other high-ranking officials.
  • B. Stanford Health Care
    Stanford Health Care is a major academic medical center and healthcare system affiliated with Stanford University, known for advanced specialty care, research, and teaching.
  • C. United States Department of Veterans Affairs
    The United States Department of Veterans Affairs is a federal executive department responsible for providing healthcare, benefits, and other essential services to U.S. military veterans and their families.
  • D. University of California, San Francisco
    The University of California, San Francisco is a leading public research university and medical center focused exclusively on health sciences, renowned for its biomedical research, clinical care, and graduate education.
  • E. Lucile Packard Children’s Hospital Stanford
    Lucile Packard Children’s Hospital Stanford is a leading pediatric and obstetric teaching hospital in Palo Alto, California, renowned for advanced child and maternal health care and its affiliation with Stanford University School 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: San Francisco VA Medical Center
Triple: [University of California, San Francisco, hasHospitalAffiliation, San Francisco VA Medical Center]
Generated description
San Francisco VA Medical Center is a major Veterans Affairs hospital and research facility in San Francisco that provides comprehensive healthcare services to U.S. military veterans and serves as a teaching hospital for the University of California, San Francisco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: San Francisco VA Medical Center
Target entity description: San Francisco VA Medical Center is a major Veterans Affairs hospital and research facility in San Francisco that provides comprehensive healthcare services to U.S. military veterans and serves as a teaching hospital for the University of California, San Francisco.
  • A. Bethesda Naval Hospital
    Bethesda Naval Hospital, officially the National Naval Medical Center in Bethesda, Maryland, was a major U.S. military medical facility known for treating presidents and other high-ranking officials.
  • B. Stanford Health Care
    Stanford Health Care is a major academic medical center and healthcare system affiliated with Stanford University, known for advanced specialty care, research, and teaching.
  • C. United States Department of Veterans Affairs
    The United States Department of Veterans Affairs is a federal executive department responsible for providing healthcare, benefits, and other essential services to U.S. military veterans and their families.
  • D. University of California, San Francisco
    The University of California, San Francisco is a leading public research university and medical center focused exclusively on health sciences, renowned for its biomedical research, clinical care, and graduate education.
  • E. Lucile Packard Children’s Hospital Stanford
    Lucile Packard Children’s Hospital Stanford is a leading pediatric and obstetric teaching hospital in Palo Alto, California, renowned for advanced child and maternal health care and its affiliation with Stanford University School 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee043fac8190af72291c04761687 completed Feb. 28, 2026, 1:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3e0165b6481909345301df3f2144d completed March 1, 2026, 6:43 a.m.
NEDg Description generation batch_69a3e07452388190a8162c327c76185b completed March 1, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_69a3e17d43f4819081500e106d3973e9 completed March 1, 2026, 6:49 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.