Triple

T22971690
Position Surface form Disambiguated ID Type / Status
Subject Kempen, Germany E571203 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Viersen 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: Viersen district | Statement: [Kempen, Germany, locatedInAdministrativeTerritory, Viersen district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viersen district
Context triple: [Kempen, Germany, locatedInAdministrativeTerritory, Viersen district]
  • A. Borken district
    Borken district is a rural administrative district in the state of North Rhine-Westphalia in western Germany, known for its small towns, agriculture, and proximity to the Dutch border.
  • B. Soest district
    Soest district is a rural administrative district (Kreis) in the German state of North Rhine-Westphalia, known for its historic towns, agricultural landscape, and location between the Ruhr area and the Sauerland region.
  • C. Stockel district
    Stockel district is a residential neighborhood in the eastern part of Brussels, Belgium, known for its local shopping streets, metro terminus, and village-like atmosphere.
  • D. Sonneberg district
    Sonneberg district is an administrative district (Landkreis) in the southern part of Thuringia, Germany, known for its toy-making tradition and proximity to the Thuringian Forest.
  • E. Lippe district
    Lippe district is a rural administrative district in the German state of North Rhine-Westphalia, known for its historic towns, natural landscapes, and cultural heritage linked to the former Principality of Lippe.
  • 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: Viersen district
Target entity description: Viersen district is a rural administrative district (Kreis) in the German state of North Rhine-Westphalia, known for its mix of small towns, agriculture, and proximity to the Dutch border.
  • A. Borken district
    Borken district is a rural administrative district in the state of North Rhine-Westphalia in western Germany, known for its small towns, agriculture, and proximity to the Dutch border.
  • B. Soest district
    Soest district is a rural administrative district (Kreis) in the German state of North Rhine-Westphalia, known for its historic towns, agricultural landscape, and location between the Ruhr area and the Sauerland region.
  • C. Stockel district
    Stockel district is a residential neighborhood in the eastern part of Brussels, Belgium, known for its local shopping streets, metro terminus, and village-like atmosphere.
  • D. Sonneberg district
    Sonneberg district is an administrative district (Landkreis) in the southern part of Thuringia, Germany, known for its toy-making tradition and proximity to the Thuringian Forest.
  • E. Lippe district
    Lippe district is a rural administrative district in the German state of North Rhine-Westphalia, known for its historic towns, natural landscapes, and cultural heritage linked to the former Principality of Lippe.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1823370fc819084a13d6e4eb6e44e completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.