Triple

T13312759
Position Surface form Disambiguated ID Type / Status
Subject canton of Mont-Saint-Aignan E317111 entity
Predicate contains P35 FINISHED
Object Bois-Guillaume E884436 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: Bois-Guillaume | Statement: [canton of Mont-Saint-Aignan, contains, Bois-Guillaume]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bois-Guillaume
Context triple: [canton of Mont-Saint-Aignan, contains, Bois-Guillaume]
  • A. Bois-Guillaume chosen
    Bois-Guillaume is a suburban commune located near Rouen in northern France, known for its residential character and proximity to the city.
  • B. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • C. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • D. Dugommier
    Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
  • E. Rigaud
    Rigaud is a sinister and manipulative French villain in Charles Dickens's novel "Little Dorrit."
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f6d34c8190ba19dc2df7d42c22 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2810a881908b1ed0cc4fb9ac12 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:29 p.m.