Triple

T23652879
Position Surface form Disambiguated ID Type / Status
Subject Hoag Hospital Newport Beach E584213 entity
Predicate traumaCenterStatus P28274 FINISHED
Object emergency and critical care services LITERAL 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: emergency and critical care services | Statement: [Hoag Hospital Newport Beach, traumaCenterStatus, emergency and critical care services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traumaCenterStatus
Context triple: [Hoag Hospital Newport Beach, traumaCenterStatus, emergency and critical care services]
  • A. hasTraumaCenter chosen
    Indicates that an entity (such as a hospital or facility) includes or is equipped with a designated trauma center capable of providing specialized emergency care for severe injuries.
  • B. burnCenterStatus
    Indicates the operational or designation status of a medical facility as a burn treatment center.
  • C. headquartersStatus
    Indicates the role or designation of a location in relation to serving as an organization’s headquarters (e.g., primary, regional, former).
  • D. injuryStatus
    Indicates the condition or state of harm, damage, or physical injury affecting an entity.
  • E. cityCenterStatus
    Indicates whether a location holds the status of being the central or main area of a city.
  • F. None of above.

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_69e248fefafc81909656921192f30e80 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b3599128819092b6a44779889a78 completed April 29, 2026, 7:29 a.m.
PD Predicate disambiguation batch_69f118d7903c8190bb590a71771e93af completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:49 p.m.