Triple

T21347917
Position Surface form Disambiguated ID Type / Status
Subject Schiltach E526390 entity
Predicate locatedInAdministrative P40 FINISHED
Object Rottweil 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: Rottweil district | Statement: [Schiltach, locatedInAdministrative, Rottweil district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rottweil district
Context triple: [Schiltach, locatedInAdministrative, Rottweil district]
  • A. 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.
  • 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. 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.
  • D. Reutlingen district
    Reutlingen district is an administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, known for its mix of industrial towns and scenic Swabian Alb landscapes.
  • E. Miesbach district
    Miesbach district is a rural administrative district in Upper Bavaria, Germany, known for its Alpine landscapes, lakes, and popular tourist destinations.
  • 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: Rottweil district
Target entity description: Rottweil district is an administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, known for its historic towns and location in the Black Forest region.
  • A. 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.
  • 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. 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.
  • D. Reutlingen district
    Reutlingen district is an administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, known for its mix of industrial towns and scenic Swabian Alb landscapes.
  • E. Miesbach district
    Miesbach district is a rural administrative district in Upper Bavaria, Germany, known for its Alpine landscapes, lakes, and popular tourist destinations.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8ad2d01b481909d9b4813ff37905c completed April 22, 2026, 11:12 a.m.
Created at: April 16, 2026, 5 p.m.