Triple

T20197385
Position Surface form Disambiguated ID Type / Status
Subject Montreal Fire Department E493123 entity
Predicate coordinatesWith P1140 FINISHED
Object Urgences-santé NE NERFINISHED

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: Urgences-santé | Statement: [Montreal Fire Department, coordinatesWith, Urgences-santé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urgences-santé
Context triple: [Montreal Fire Department, coordinatesWith, Urgences-santé]
  • A. IMSS
    IMSS is Mexico’s main public social security and healthcare institution, providing medical services and social protection to workers and their families.
  • B. Médecins du Monde
    Médecins du Monde is an international humanitarian medical organization that provides healthcare and advocates for vulnerable and crisis-affected populations worldwide.
  • C. ambulance corps chosen
    An ambulance corps is an organized group that provides emergency medical services and patient transport, typically staffed by trained volunteers or professionals responding to medical emergencies.
  • D. Hôpital Jean-Verdier
    Hôpital Jean-Verdier is a public teaching hospital located in Bobigny, in the northeastern suburbs of Paris, France.
  • E. Öffentlicher Gesundheitsdienst
    Öffentlicher Gesundheitsdienst is Germany’s municipal and state-run public health sector responsible for population-level health protection, prevention, and health promotion.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad99d50819090ddb7b546c65321 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.