Triple

T22383388
Position Surface form Disambiguated ID Type / Status
Subject Heussallee/Museumsmeile E553331 entity
Predicate locatedIn P40 FINISHED
Object federal district of Bonn 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: federal district of Bonn | Statement: [Heussallee/Museumsmeile, locatedIn, federal district of Bonn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: federal district of Bonn
Context triple: [Heussallee/Museumsmeile, locatedIn, federal district of Bonn]
  • A. Federal Social Court of Germany
    The Federal Social Court of Germany is the highest court of appeal for matters of social law, including social security and public welfare disputes, within the German judicial system.
  • B. Karlsruhe district
    Karlsruhe district is a rural administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, surrounding but not including the city of Karlsruhe.
  • C. 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.
  • D. District of Stade
    The District of Stade is an administrative district in Lower Saxony, Germany, encompassing the town of Stade and surrounding areas near the Elbe River.
  • E. Arolsen, Waldeck and Pyrmont
    Arolsen, Waldeck and Pyrmont is a historic town in the former Principality of Waldeck and Pyrmont in present-day Hesse, 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: federal district of Bonn
Target entity description: The federal district of Bonn is an administrative area within the German city of Bonn that includes important political, cultural, and institutional sites.
  • A. Federal Social Court of Germany
    The Federal Social Court of Germany is the highest court of appeal for matters of social law, including social security and public welfare disputes, within the German judicial system.
  • B. Karlsruhe district
    Karlsruhe district is a rural administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, surrounding but not including the city of Karlsruhe.
  • C. 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.
  • D. District of Stade
    The District of Stade is an administrative district in Lower Saxony, Germany, encompassing the town of Stade and surrounding areas near the Elbe River.
  • E. Arolsen, Waldeck and Pyrmont
    Arolsen, Waldeck and Pyrmont is a historic town in the former Principality of Waldeck and Pyrmont in present-day Hesse, 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1582d8e548190a7330de49d519675 completed April 29, 2026, 1 a.m.
Created at: April 16, 2026, 8:45 p.m.