Triple

T13162719
Position Surface form Disambiguated ID Type / Status
Subject Hôpital d'instruction des armées Sainte-Anne E312765 entity
Predicate hasTraumaCareCapability P28274 FINISHED
Object yes 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: yes | Statement: [Hôpital d'instruction des armées Sainte-Anne, hasTraumaCareCapability, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTraumaCareCapability
Context triple: [Hôpital d'instruction des armées Sainte-Anne, hasTraumaCareCapability, yes]
  • 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. hasEmergencyCare
    Indicates that an entity provides or is equipped with emergency medical care services for another entity or individuals.
  • C. hasTertiaryCareCapabilities
    Indicates that an entity (such as a healthcare facility) possesses the advanced resources, specialties, and infrastructure required to provide tertiary-level medical care.
  • D. medicalEvacuationCapacity
    Indicates the ability or resources available to transport and care for patients during a medical evacuation operation.
  • E. hasEmergencyServiceProvider
    Indicates that an entity is associated with or served by a specific emergency service provider (such as police, fire, or medical services).
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf054f88190b05ced98d5a22a62 completed April 10, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69d98bbd1d088190b7c69f37fc6eeb64 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:12 p.m.