Triple

T19871846
Position Surface form Disambiguated ID Type / Status
Subject Hays Medical Center E477534 entity
Predicate alternateName P39 FINISHED
Object HaysMed NE NERFINISHED

How this triple was built (2 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: HaysMed | Statement: [Hays Medical Center, alternateName, HaysMed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HaysMed
Context triple: [Hays Medical Center, alternateName, HaysMed]
  • A. Hays Medical Center chosen
    Hays Medical Center is a regional healthcare facility in Hays, Kansas, providing comprehensive medical services to residents of western Kansas and surrounding areas.
  • B. Hospental
    Hospental is a small historic village in the Swiss Alps, known for its strategic location at the crossroads of major mountain passes and its traditional alpine architecture.
  • C. MediSys Health Network
    MediSys Health Network is a New York–based healthcare system that operates and oversees hospitals and related medical facilities, including Jamaica Hospital Medical Center.
  • D. Hamilton regional health system
    Hamilton regional health system is an integrated network of hospitals and healthcare services serving the Hamilton, Ontario region.
  • E. McLeod Regional Medical Center
    McLeod Regional Medical Center is a major regional hospital and healthcare hub serving Florence, South Carolina and the surrounding Pee Dee area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d826f88190be04188997952d1b completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:51 p.m.