Triple

T8399709
Position Surface form Disambiguated ID Type / Status
Subject Intercom Bernay Terres de Normandie E198140 entity
Predicate hasAdministrativeCentre P1474 FINISHED
Object Bernay E234308 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: Bernay | Statement: [Intercom Bernay Terres de Normandie, hasAdministrativeCentre, Bernay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernay
Context triple: [Intercom Bernay Terres de Normandie, hasAdministrativeCentre, Bernay]
  • A. Bernay chosen
    Bernay is a historic market town in the Normandy region of northern France, known for its medieval architecture and traditional Norman character.
  • B. Lancy
    Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
  • C. Besançon
    Besançon is a historic city in eastern France, known for its well-preserved Vauban fortifications, rich cultural heritage, and role as a regional administrative and educational center.
  • D. Vandoeuvres
    Vandoeuvres is a small, affluent residential municipality located near the city of Geneva in western Switzerland.
  • E. Épinal
    Épinal is a historic town in northeastern France, known for its traditional image-printing industry and picturesque setting in the Vosges region.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb824bfcbc8190b26bfcb5f8c4777c completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02e129bc819081e6ea2dd43becba completed April 2, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:04 p.m.