Triple

T19325487
Position Surface form Disambiguated ID Type / Status
Subject Ziertheim E483335 entity
Predicate locatedIn P40 FINISHED
Object Heidenheim district 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: Heidenheim district | Statement: [Ziertheim, locatedIn, Heidenheim district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heidenheim district
Context triple: [Ziertheim, locatedIn, Heidenheim district]
  • A. Heidenheim district
    Heidenheim district is an administrative district in eastern Baden-Württemberg, Germany, known for its industrial towns and location along the Brenz River on the Swabian Jura.
  • B. Biberach district
    Biberach district is a rural administrative district in the state of Baden-Württemberg in southern Germany, known for its historic towns and location in the Upper Swabia region.
  • C. Calw district
    Calw district is a rural administrative district in the northern Black Forest region of Baden-Württemberg, Germany, known for its forested landscapes, small towns, and spa resorts.
  • D. Aichach-Friedberg district
    Aichach-Friedberg is a rural district in the Bavarian region of Swabia in southern Germany, known for its small towns, agricultural landscape, and proximity to the city of Augsburg.
  • E. Rastatt district
    Rastatt district is an administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, located near the Black Forest and the Upper Rhine.
  • 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: Heidenheim district
Target entity description: Heidenheim district is an administrative district (Landkreis) in the state of Baden-Württemberg in southern Germany, known for its mix of industrial towns and rural landscapes on the Swabian Jura.
  • A. Heidenheim district chosen
    Heidenheim district is an administrative district in eastern Baden-Württemberg, Germany, known for its industrial towns and location along the Brenz River on the Swabian Jura.
  • B. Biberach district
    Biberach district is a rural administrative district in the state of Baden-Württemberg in southern Germany, known for its historic towns and location in the Upper Swabia region.
  • C. Calw district
    Calw district is a rural administrative district in the northern Black Forest region of Baden-Württemberg, Germany, known for its forested landscapes, small towns, and spa resorts.
  • D. Aichach-Friedberg district
    Aichach-Friedberg is a rural district in the Bavarian region of Swabia in southern Germany, known for its small towns, agricultural landscape, and proximity to the city of Augsburg.
  • E. Rastatt district
    Rastatt district is an administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, located near the Black Forest and the Upper Rhine.
  • F. None of above.

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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8bb28c81909b3a3bbb96b69b4f completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:33 p.m.