Triple

T20967446
Position Surface form Disambiguated ID Type / Status
Subject Lauch E516404 entity
Predicate flowsThrough P225 FINISHED
Object Guebwiller 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: Guebwiller | Statement: [Lauch, flowsThrough, Guebwiller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guebwiller
Context triple: [Lauch, flowsThrough, Guebwiller]
  • A. Guebwiller chosen
    Guebwiller is a commune in northeastern France known for its wine production and location at the foot of the Vosges mountains in the Alsace region.
  • B. Thann-Guebwiller
    Thann-Guebwiller is an administrative arrondissement and subprefectural area in the Haut-Rhin department of the Grand Est region in northeastern France.
  • C. Waldkirch
    Waldkirch is a small historic town in southwestern Germany’s Black Forest region, known for its scenic surroundings and traditional organ-building industry.
  • D. Lingolsheim
    Lingolsheim is a suburban commune in northeastern France, located just southwest of Strasbourg in the Grand Est region.
  • E. Ribeauvillé
    Ribeauvillé is a historic wine-producing town in France’s Alsace region, known for its medieval architecture and location along the Alsace Wine Route.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb9d6b548190af7214ad2468cfbf completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:37 p.m.