Triple

T20786538
Position Surface form Disambiguated ID Type / Status
Subject Flers E511652 entity
Predicate countrySubdivision P766 FINISHED
Object department Orne 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: department Orne | Statement: [Flers, countrySubdivision, department Orne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: department Orne
Context triple: [Flers, countrySubdivision, department Orne]
  • A. department of Orne chosen
    The department of Orne is an administrative division in the Normandy region of northwestern France, known for its rural landscapes, historic towns, and equestrian traditions.
  • B. Home Department
    The Home Department was a former British government ministry responsible for domestic affairs, which was later reorganized and succeeded by the Home Office.
  • C. Department K
    Department K was a specialized counterintelligence unit within the First Chief Directorate of the KGB, focused primarily on monitoring and combating foreign intelligence activities.
  • D. Var department
    Var department is an administrative division in the Provence-Alpes-Côte d'Azur region of southeastern France, known for its Mediterranean coastline, resorts, and historic towns.
  • E. Department T
    Department T was a specialized technical and scientific intelligence unit within the Soviet KGB’s foreign intelligence apparatus.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28c0d0c8190aa48e6fdfdaab750 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.