Triple

T17802345
Position Surface form Disambiguated ID Type / Status
Subject Seine-Inférieure E444461 entity
Predicate contains P35 FINISHED
Object Montivilliers 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: Montivilliers | Statement: [Seine-Inférieure, contains, Montivilliers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montivilliers
Context triple: [Seine-Inférieure, contains, Montivilliers]
  • A. Montivilliers chosen
    Montivilliers is a commune in the Seine-Maritime department of northern France, situated near Le Havre in the Normandy region.
  • B. Bois-de-Villers
    Bois-de-Villers is a village in the municipality of Jalhay in the Walloon region of Belgium, known for its rural setting in the Ardennes.
  • C. Moutiers
    Moutiers is a town in the Savoie department of southeastern France, known as a gateway to nearby Alpine ski resorts.
  • D. Montreuil-Bellay
    Montreuil-Bellay is a historic commune in western France’s Maine-et-Loire department, known for its medieval architecture and prominent château overlooking the Thouet River.
  • E. Chauvigny
    Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488005a288190b7a2cffa590d2557 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.