Triple

T4773275
Position Surface form Disambiguated ID Type / Status
Subject UPMC E105982 entity
Predicate hasComponent P35 FINISHED
Object UPMC Enterprises E105982 NE FINISHED

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: UPMC Enterprises | Statement: [UPMC, hasComponent, UPMC Enterprises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UPMC Enterprises
Context triple: [UPMC, hasComponent, UPMC Enterprises]
  • A. UPMC chosen
    UPMC is a large integrated healthcare provider and insurer headquartered in Pittsburgh, Pennsylvania, known for its extensive hospital network and medical research.
  • B. Lancaster General Health
    Lancaster General Health is a regional not-for-profit health system in Pennsylvania that operates hospitals and outpatient facilities and is part of the Penn Medicine network.
  • C. Mercy Health
    Mercy Health is a large not-for-profit healthcare system that operates hospitals and medical facilities, primarily in the Midwest and Southern United States.
  • D. Essentia Health
    Essentia Health is a regional, integrated healthcare system that operates hospitals and clinics across the upper Midwest of the United States.
  • E. Medlantic Healthcare Group
    Medlantic Healthcare Group was a regional healthcare organization that served as the predecessor to the large not-for-profit health system now known as MedStar Health.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6560b3448190a0debbd8da29d986 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d8e724c8190bfca713d5d022be6 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:21 p.m.