Triple

T9603076
Position Surface form Disambiguated ID Type / Status
Subject Antoine of Bourbon, Duke of Vendôme E231897 entity
Predicate deathPlace P21 FINISHED
Object Les Andelys E178384 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: Les Andelys | Statement: [Antoine of Bourbon, Duke of Vendôme, deathPlace, Les Andelys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Andelys
Context triple: [Antoine of Bourbon, Duke of Vendôme, deathPlace, Les Andelys]
  • A. Les Andelys chosen
    Les Andelys is a historic town in northern France on the Seine River, known for its medieval Château Gaillard fortress and as the birthplace of painter Nicolas Poussin.
  • B. Arnouville
    Arnouville is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
  • C. Dourdan
    Dourdan is a commune in the Essonne department in the southern suburbs of Paris, France, known for its historic medieval castle and role as a terminus on the RER C suburban rail line.
  • D. Étampes
    Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
  • E. Les Mureaux
    Les Mureaux is a suburban commune in north-central France known for its aerospace industry and location along the Seine, west of Paris.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a5af8f0819089408ed630afa812 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1792ba9388190b98d4fb081510c30 completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:08 p.m.