Triple

T19017845
Position Surface form Disambiguated ID Type / Status
Subject Meuse-Argonne region E465400 entity
Predicate nearbyTown P3883 FINISHED
Object Varennes-en-Argonne 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: Varennes-en-Argonne | Statement: [Meuse-Argonne region, nearbyTown, Varennes-en-Argonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varennes-en-Argonne
Context triple: [Meuse-Argonne region, nearbyTown, Varennes-en-Argonne]
  • A. Varennes-en-Argonne chosen
    Varennes-en-Argonne is a commune in northeastern France historically known as the town where King Louis XVI was arrested during his attempted escape in 1791.
  • B. Beaumont-en-Argonne
    Beaumont-en-Argonne is a commune in northeastern France’s Ardennes department, historically notable as the site of the Battle of Beaumont during the Franco-Prussian War.
  • C. Montfaucon-d’Argonne
    Montfaucon-d’Argonne is a commune in northeastern France notable for its World War I battlefield sites and the imposing American Memorial overlooking the Meuse-Argonne region.
  • D. Juvancourt
    Juvancourt is a small commune in the Aube department in north-central France.
  • E. Allonnes
    Allonnes is a commune in western France, known as a residential suburb of Le Mans with a mix of industrial areas and green spaces.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6dc0f9081909cddc5186603e885 completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.