Triple

T20786425
Position Surface form Disambiguated ID Type / Status
Subject Camembert, Orne E511649 entity
Predicate partOf P40 FINISHED
Object department of 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 of Orne | Statement: [Camembert, Orne, partOf, department of Orne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: department of Orne
Context triple: [Camembert, Orne, partOf, department of 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. Orne department
    Orne department is a largely rural administrative region in northwestern France’s Normandy, known for its historic towns, forests, and horse-breeding countryside.
  • C. ORNI
    ORNI is the ICAO airport code for Najaf International Airport in Najaf, Iraq.
  • D. Orn
    Orn is a science fantasy novel by Piers Anthony, best known as the second book in his "Of Man and Manta" series that blends speculative biology with adventurous storytelling.
  • E. Department of Ain
    The Department of Ain is an administrative region in eastern France, known for its diverse landscapes between the Alps and the Saône River and its historic towns such as Bourg-en-Bresse.
  • 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.