Triple

T21382657
Position Surface form Disambiguated ID Type / Status
Subject Wiesloch E527400 entity
Predicate hasDistrict P459 FINISHED
Object Frauenweiler 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: Frauenweiler | Statement: [Wiesloch, hasDistrict, Frauenweiler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frauenweiler
Context triple: [Wiesloch, hasDistrict, Frauenweiler]
  • A. Gnannenweiler
    Gnannenweiler is a small village in the municipality of Steinheim am Albuch in the Heidenheim district of Baden-Württemberg, Germany.
  • B. Dietersweiler
    Dietersweiler is a village and municipal district of the town of Freudenstadt in the Black Forest region of Baden-Württemberg, Germany.
  • C. Lommersweiler
    Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
  • D. Friedenweiler
    Friedenweiler is a small municipality in southwestern Germany’s Black Forest region, known for its forested landscapes and tranquil rural character.
  • E. Bergenweiler
    Bergenweiler is a small village in the municipality of Sontheim an der Brenz in the Heidenheim district of Baden-Württemberg, 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: Frauenweiler
Target entity description: Frauenweiler is a district of the town of Wiesloch in the Rhine-Neckar region of Baden-Württemberg, Germany.
  • A. Gnannenweiler
    Gnannenweiler is a small village in the municipality of Steinheim am Albuch in the Heidenheim district of Baden-Württemberg, Germany.
  • B. Dietersweiler
    Dietersweiler is a village and municipal district of the town of Freudenstadt in the Black Forest region of Baden-Württemberg, Germany.
  • C. Lommersweiler
    Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
  • D. Friedenweiler
    Friedenweiler is a small municipality in southwestern Germany’s Black Forest region, known for its forested landscapes and tranquil rural character.
  • E. Bergenweiler
    Bergenweiler is a small village in the municipality of Sontheim an der Brenz in the Heidenheim district of Baden-Württemberg, 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0d1fa1c8190b3374e0bb3a971fc completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:12 p.m.