Triple

T1274540
Position Surface form Disambiguated ID Type / Status
Subject Jewish General Hospital E15782 entity
Predicate hasEmergencyServiceLevel P464 FINISHED
Object major urban emergency department 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: major urban emergency department | Statement: [Jewish General Hospital, hasEmergencyServiceLevel, major urban emergency department]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEmergencyServiceLevel
Context triple: [Jewish General Hospital, hasEmergencyServiceLevel, major urban emergency department]
  • A. hasEmergencyServices chosen
    Indicates that the subject provides or is equipped with emergency response services (such as police, fire, or medical assistance).
  • B. hasEmergencySystems
    Indicates that the subject is equipped with or includes systems designed to detect, respond to, or manage emergency situations.
  • C. usesEmergencyNumber
    Indicates that an entity initiates contact or communication by dialing or otherwise employing an officially designated emergency telephone number.
  • D. hasEmergencyIntercoms
    Indicates that an entity is equipped with emergency intercom devices available for use in urgent or crisis situations.
  • E. hasServiceTo
    Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c31602b8819087a57e8d390cae7a completed March 1, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69a4bee0be808190a8ccac6a41851fdd completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:50 p.m.