Triple

T19756366
Position Surface form Disambiguated ID Type / Status
Subject Michael E. DeBakey VA Medical Center E474510 entity
Predicate partOf P40 FINISHED
Object VA Heart of Texas Health Care Network NE NERFINISHED

How this triple was built (3 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: VA Heart of Texas Health Care Network | Statement: [Michael E. DeBakey VA Medical Center, partOf, VA Heart of Texas Health Care Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VA Heart of Texas Health Care Network
Context triple: [Michael E. DeBakey VA Medical Center, partOf, VA Heart of Texas Health Care Network]
  • A. Texas Heart Institute
    The Texas Heart Institute is a leading cardiovascular research and treatment center renowned for pioneering advances in heart surgery, cardiology, and medical innovation.
  • B. Northwest Texas Healthcare System
    Northwest Texas Healthcare System is a major regional hospital and healthcare provider based in Amarillo, Texas, offering a wide range of medical and specialty services.
  • C. Baylor Scott & White Health
    Baylor Scott & White Health is a large not-for-profit healthcare system based in Texas, operating a wide network of hospitals, clinics, and medical centers across the state.
  • D. CHRISTUS Spohn Health System
    CHRISTUS Spohn Health System is a regional Catholic, not-for-profit healthcare network serving South Texas through multiple hospitals and medical facilities.
  • E. Texas Medical Center Corporation
    Texas Medical Center Corporation is the nonprofit organization that oversees and manages the operations, development, and strategic planning of the Texas Medical Center in Houston.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VA Heart of Texas Health Care Network
Target entity description: The VA Heart of Texas Health Care Network is a regional Veterans Health Administration system that oversees and coordinates medical services for veterans across central and southeastern Texas.
  • A. Texas Heart Institute
    The Texas Heart Institute is a leading cardiovascular research and treatment center renowned for pioneering advances in heart surgery, cardiology, and medical innovation.
  • B. Northwest Texas Healthcare System
    Northwest Texas Healthcare System is a major regional hospital and healthcare provider based in Amarillo, Texas, offering a wide range of medical and specialty services.
  • C. Baylor Scott & White Health
    Baylor Scott & White Health is a large not-for-profit healthcare system based in Texas, operating a wide network of hospitals, clinics, and medical centers across the state.
  • D. CHRISTUS Spohn Health System
    CHRISTUS Spohn Health System is a regional Catholic, not-for-profit healthcare network serving South Texas through multiple hospitals and medical facilities.
  • E. Texas Medical Center Corporation
    Texas Medical Center Corporation is the nonprofit organization that oversees and manages the operations, development, and strategic planning of the Texas Medical Center in Houston.
  • F. None of above. chosen

Provenance (2 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531afcbc8190bd5364700008f6d8 completed April 20, 2026, 4:23 p.m.
Created at: April 10, 2026, 1:48 p.m.