Triple

T6905145
Position Surface form Disambiguated ID Type / Status
Subject François Magendie E159793 entity
Predicate deathPlace P21 FINISHED
Object Sannois E274317 NE 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: Sannois | Statement: [François Magendie, deathPlace, Sannois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sannois
Context triple: [François Magendie, deathPlace, Sannois]
  • A. Sannois chosen
    Sannois is a suburban commune in the northwestern outskirts of Paris, France, known for its residential character and location within the Val-d'Oise department.
  • B. Corbeil-Essonnes
    Corbeil-Essonnes is a suburban commune in the southern outskirts of Paris, France, known as a local transport hub and residential area within the Île-de-France region.
  • C. Valenciennes metropolitan area
    The Valenciennes metropolitan area is an urban agglomeration in northern France centered on the city of Valenciennes, known for its industrial heritage and cultural institutions.
  • D. Reims metropolitan area
    The Reims metropolitan area is an urban agglomeration in northeastern France centered on the city of Reims, known for its historical cathedral and role in the Champagne wine region.
  • E. Créteil
    Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d98b07f0819093595e958fa0317b completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf709c4c819090c35eb41f46f5d2 completed March 28, 2026, 11:45 a.m.
Created at: March 27, 2026, 2:25 p.m.