Triple

T21659982
Position Surface form Disambiguated ID Type / Status
Subject canton of Guebwiller E534568 entity
Predicate contains P35 FINISHED
Object Merxheim 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: Merxheim | Statement: [canton of Guebwiller, contains, Merxheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merxheim
Context triple: [canton of Guebwiller, contains, Merxheim]
  • A. Merxheim chosen
    Merxheim is a small commune in the Haut-Rhin department of the Grand Est region in northeastern France.
  • B. Bantzenheim
    Bantzenheim is a commune in the Haut-Rhin department in the Grand Est region of northeastern France.
  • C. Marlenheim
    Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
  • D. Bergheim
    Bergheim is a municipality in the Austrian state of Salzburg, located just north of the city of Salzburg and known for its suburban character and proximity to the regional capital.
  • E. Bergheim
    Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c06844c81909b9c91e02fa4e6e1 completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.