Triple

T17678277
Position Surface form Disambiguated ID Type / Status
Subject Sankt Josef church (Bornheim) E440694 entity
Predicate locatedIn P40 FINISHED
Object Bornheim, Frankfurt am Main, Hesse, Germany 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: Bornheim, Frankfurt am Main, Hesse, Germany | Statement: [Sankt Josef church (Bornheim), locatedIn, Bornheim, Frankfurt am Main, Hesse, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bornheim, Frankfurt am Main, Hesse, Germany
Context triple: [Sankt Josef church (Bornheim), locatedIn, Bornheim, Frankfurt am Main, Hesse, Germany]
  • A. Bornheim (Rheinland)
    Bornheim (Rheinland) is a town in North Rhine-Westphalia, Germany, situated between Bonn and Cologne and known for its agricultural landscape, especially fruit and vegetable farming.
  • B. Marburg, Hesse, Germany
    Marburg is a historic university town in the German state of Hesse, known for its medieval architecture and its long-standing role as a center of scientific and academic research.
  • C. Friedberg, Hesse
    Friedberg, Hesse is a historic town in central Germany’s state of Hesse, known for its medieval architecture and prominent hilltop fortress.
  • D. Hesse, Germany
    Hesse, Germany is a federal state in central Germany known for its financial hub Frankfurt am Main, forested landscapes, and historic cities such as Wiesbaden and Kassel.
  • E. Weinheim, Germany
    Weinheim, Germany is a town in the state of Baden-Württemberg known for its historic old town, twin castles, and role as a regional economic and publishing center.
  • 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: Bornheim, Frankfurt am Main, Hesse, Germany
Target entity description: Bornheim is a lively district of Frankfurt am Main in the German state of Hesse, known for its historic charm, traditional pubs, and vibrant local culture.
  • A. Bornheim (Rheinland)
    Bornheim (Rheinland) is a town in North Rhine-Westphalia, Germany, situated between Bonn and Cologne and known for its agricultural landscape, especially fruit and vegetable farming.
  • B. Marburg, Hesse, Germany
    Marburg is a historic university town in the German state of Hesse, known for its medieval architecture and its long-standing role as a center of scientific and academic research.
  • C. Friedberg, Hesse
    Friedberg, Hesse is a historic town in central Germany’s state of Hesse, known for its medieval architecture and prominent hilltop fortress.
  • D. Hesse, Germany
    Hesse, Germany is a federal state in central Germany known for its financial hub Frankfurt am Main, forested landscapes, and historic cities such as Wiesbaden and Kassel.
  • E. Weinheim, Germany
    Weinheim, Germany is a town in the state of Baden-Württemberg known for its historic old town, twin castles, and role as a regional economic and publishing center.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6e959c819092d9d33e79bd51f7 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10:01 a.m.