Triple

T21278421
Position Surface form Disambiguated ID Type / Status
Subject Hôpital général de Paris E524451 entity
Predicate hasPart P35 FINISHED
Object Salpêtrière 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: Salpêtrière | Statement: [Hôpital général de Paris, hasPart, Salpêtrière]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salpêtrière
Context triple: [Hôpital général de Paris, hasPart, Salpêtrière]
  • A. Hôpital Bégin
    Hôpital Bégin is a French military hospital located just outside Paris that provides medical care to both armed forces personnel and civilians.
  • B. 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.
  • C. Hôpital des Quinze-Vingts
    Hôpital des Quinze-Vingts is a historic Parisian hospital founded in the 13th century, long dedicated to the care of the blind and visually impaired.
  • D. Hôpital de la Pitié-Salpêtrière chosen
    Hôpital de la Pitié-Salpêtrière is a major Parisian teaching hospital and medical research center renowned for its historical role in neurology and psychiatry.
  • E. Saint-Lazare
    Saint-Lazare is one of Paris’s busiest transport hubs, serving as a major Métro interchange connected to the Gare Saint-Lazare railway station.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73658f598819098a1192abfa40a12 completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:02 p.m.