Triple

T2626002
Position Surface form Disambiguated ID Type / Status
Subject FC Cincinnati E59117 entity
Predicate shirtSponsor P737 FINISHED
Object Mercy Health E284445 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: Mercy Health | Statement: [FC Cincinnati, shirtSponsor, Mercy Health]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercy Health
Context triple: [FC Cincinnati, shirtSponsor, Mercy Health]
  • A. Mercy Health chosen
    Mercy Health is a large not-for-profit healthcare system that operates hospitals and medical facilities, primarily in the Midwest and Southern United States.
  • B. Providence Health & Services
    Providence Health & Services is a large nonprofit Catholic health care system in the United States that operates hospitals, clinics, and other medical facilities across multiple states.
  • C. St. Mary Mercy Hospital
    St. Mary Mercy Hospital is a community-based acute care medical center serving residents of Livonia and the surrounding areas in southeastern Michigan.
  • D. Dignity Health
    Dignity Health is a large not-for-profit healthcare system in the United States that operates hospitals and other medical facilities, primarily in the western states.
  • E. CHRISTUS Health
    CHRISTUS Health is a Catholic, not-for-profit health system that operates hospitals and healthcare facilities across the United States and Latin America.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b1bd348190a4be25caa82d2eb1 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98b71950819084432017b9d8dc20 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:50 p.m.