Triple

T19508174
Position Surface form Disambiguated ID Type / Status
Subject Kreuzau E488079 entity
Predicate hasSubdivision P747 FINISHED
Object Langenbroich NE NERFINISHED

How this triple was built (2 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: Langenbroich | Statement: [Kreuzau, hasSubdivision, Langenbroich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langenbroich
Context triple: [Kreuzau, hasSubdivision, Langenbroich]
  • A. Langenbroich chosen
    Langenbroich is a small village in western Germany best known as the longtime residence and death place of Nobel Prize–winning author Heinrich Böll.
  • B. Rolandseck
    Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
  • C. La Bresse-Hohneck
    La Bresse-Hohneck is a major ski resort in the Vosges Mountains of northeastern France, known for its extensive network of alpine ski runs and family-friendly winter sports facilities.
  • D. Redoute Bad Godesberg
    Redoute Bad Godesberg is a historic neoclassical event and concert venue in the Bonn district of Bad Godesberg, Germany, known for hosting cultural and social functions.
  • E. Feusisberg
    Feusisberg is a municipality in the canton of Schwyz in Switzerland, known for its scenic location above Lake Zurich and its favorable tax environment.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635130e708190bb3d70e1abbade2a completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.