Triple

T21659991
Position Surface form Disambiguated ID Type / Status
Subject canton of Guebwiller E534568 entity
Predicate contains P35 FINISHED
Object Wintzfelden 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: Wintzfelden | Statement: [canton of Guebwiller, contains, Wintzfelden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wintzfelden
Context triple: [canton of Guebwiller, contains, Wintzfelden]
  • A. Wintzfelden chosen
    Wintzfelden is a small village in northeastern France, located in the Grand Est region within the Haut-Rhin department.
  • B. Glattfelden
    Glattfelden is a municipality in the canton of Zurich in northern Switzerland, known for its scenic setting along the Glatt River and its well-preserved historic village center.
  • C. Wiesenfelden
    Wiesenfelden is a municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
  • D. Feldstetten
    Feldstetten is a village in the Swabian Alb region of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
  • E. Wiedlisbach
    Wiedlisbach is a historic small town in the canton of Bern, Switzerland, known for its well-preserved medieval old town and former status as a fortified market settlement.
  • 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.