Triple

T18931715
Position Surface form Disambiguated ID Type / Status
Subject Bobigny E463126 entity
Predicate hasHospital P105 FINISHED
Object Hôpital Avicenne NE NERFINISHED

How this triple was built (3 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: Hôpital Avicenne | Statement: [Bobigny, hasHospital, Hôpital Avicenne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hôpital Avicenne
Context triple: [Bobigny, hasHospital, Hôpital Avicenne]
  • A. Hôpital Lariboisière
    Hôpital Lariboisière is a major 19th-century public hospital in Paris known for its historic architecture and role within the city’s university hospital system.
  • B. Hôpital Robert-Debré, Paris
    Hôpital Robert-Debré, Paris is a major pediatric teaching hospital in Paris, France, renowned for its specialized care for children and its role in medical research and education.
  • C. Hôpital général de Paris
    Hôpital général de Paris was a powerful 17th-century French institution that combined charitable, medical, and custodial functions to confine and manage the poor, sick, and socially marginalized in Paris.
  • D. Hôpital Bégin
    Hôpital Bégin is a French military hospital located just outside Paris that provides medical care to both armed forces personnel and civilians.
  • E. Hôpital Saint-Louis
    Hôpital Saint-Louis is a historic Parisian hospital renowned for its early 17th-century architecture and its longstanding role in treating infectious diseases and dermatological conditions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hôpital Avicenne
Target entity description: Hôpital Avicenne is a major public teaching hospital in the Paris metropolitan area, known for its diverse patient population and affiliation with the Assistance Publique–Hôpitaux de Paris and the University of Paris.
  • A. Hôpital Lariboisière
    Hôpital Lariboisière is a major 19th-century public hospital in Paris known for its historic architecture and role within the city’s university hospital system.
  • B. Hôpital Robert-Debré, Paris
    Hôpital Robert-Debré, Paris is a major pediatric teaching hospital in Paris, France, renowned for its specialized care for children and its role in medical research and education.
  • C. Hôpital général de Paris
    Hôpital général de Paris was a powerful 17th-century French institution that combined charitable, medical, and custodial functions to confine and manage the poor, sick, and socially marginalized in Paris.
  • D. Hôpital Bégin
    Hôpital Bégin is a French military hospital located just outside Paris that provides medical care to both armed forces personnel and civilians.
  • E. Hôpital Saint-Louis
    Hôpital Saint-Louis is a historic Parisian hospital renowned for its early 17th-century architecture and its longstanding role in treating infectious diseases and dermatological conditions.
  • F. None of above. chosen

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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9c0b84881909ad6da9522203df8 completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.