Triple

T6630361
Position Surface form Disambiguated ID Type / Status
Subject Cologne Bonn metropolitan region E149906 entity
Predicate containsCity P294 FINISHED
Object Frechen E286481 NE FINISHED

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: Frechen | Statement: [Cologne Bonn metropolitan region, containsCity, Frechen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frechen
Context triple: [Cologne Bonn metropolitan region, containsCity, Frechen]
  • A. Frechen chosen
    Frechen is a town in North Rhine-Westphalia, Germany, located just west of Cologne and known historically for its ceramics and proximity to lignite mining areas.
  • B. Offenbach
    Offenbach was a 19th-century German-French composer best known for his pioneering operettas, including "Orpheus in the Underworld" and "La Belle Hélène."
  • C. Offenbach am Main
    Offenbach am Main is a city in central Germany located on the River Main, adjacent to Frankfurt, known historically for its leather industry and as a regional economic and cultural center.
  • D. Wetzlar
    Wetzlar is a historic German city in the state of Hesse, known for its medieval old town and its long tradition in optics and precision engineering.
  • E. Eschweiler
    Eschweiler is a town in western Germany near Aachen, known for its industrial history and location in the state of North Rhine-Westphalia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa5c9b48190b645be96d446d0ca completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7422f57848190901b31229825b9e2 completed March 28, 2026, 2:51 a.m.
Created at: March 27, 2026, 1:59 p.m.