Triple

T18213709
Position Surface form Disambiguated ID Type / Status
Subject Fraubrunnen E436096 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Kernenried NE NERFINISHED

How this triple was built (3 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: Kernenried | Statement: [Fraubrunnen, neighboringMunicipality, Kernenried]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kernenried
Context triple: [Fraubrunnen, neighboringMunicipality, Kernenried]
  • A. Biebelried
    Biebelried is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and proximity to the Franconian wine region.
  • B. Staldenried
    Staldenried is a small Swiss mountain municipality in the canton of Valais, known for its alpine scenery and traditional rural character.
  • C. Steinlach
    Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
  • D. Riederau
    Riederau is a small lakeside district of Dießen am Ammersee in Bavaria, Germany, known for its scenic location on the shores of Lake Ammersee.
  • E. Obergriesbach
    Obergriesbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kernenried
Target entity description: Kernenried is a small rural municipality in the canton of Bern in Switzerland, known for its agricultural landscape and quiet village character.
  • A. Biebelried
    Biebelried is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and proximity to the Franconian wine region.
  • B. Staldenried
    Staldenried is a small Swiss mountain municipality in the canton of Valais, known for its alpine scenery and traditional rural character.
  • C. Steinlach
    Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
  • D. Riederau
    Riederau is a small lakeside district of Dießen am Ammersee in Bavaria, Germany, known for its scenic location on the shores of Lake Ammersee.
  • E. Obergriesbach
    Obergriesbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of Germany.
  • F. None of above. chosen

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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e475953c81909f792793ded2057e completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.