Triple

T37001190
Position Surface form Disambiguated ID Type / Status
Subject Charlton Campus emergency department E915353 entity
Predicate triageSystem P186893 FINISHED
Object acuity-based triage 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: acuity-based triage | Statement: [Charlton Campus emergency department, triageSystem, acuity-based triage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: triageSystem
Context triple: [Charlton Campus emergency department, triageSystem, acuity-based triage]
  • A. treatsSystem
    Indicates that one entity provides medical or remedial care or intervention to a system (such as a bodily system, technical system, or organizational system) to address problems, maintain function, or improve its condition.
  • B. providesInterHospitalTransfers
    Indicates that one entity arranges or facilitates the transfer of patients or services between different hospitals.
  • C. medicalSystemPracticed
    Indicates that a particular medical system or tradition is practiced, applied, or followed by an entity (such as a person, organization, or region).
  • D. hasTraumaCenter
    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.
  • E. emergencyDepartment
    Indicates that an entity is associated with, located in, or functions as an emergency department within a healthcare or medical context.
  • F. None of above. chosen

Provenance (4 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_69f76e8f1a8c81909db172ed31304971 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb154c0fe08190a2e41e7a29b6055f completed May 6, 2026, 10:17 a.m.
PD Predicate disambiguation batch_69f9fecc005c8190be082a8689193745 completed May 5, 2026, 2:29 p.m.
PDg Predicate description generation batch_69fb154b5f8c819089103b41f51a1639 completed May 6, 2026, 10:17 a.m.
Created at: May 3, 2026, 4:14 p.m.