Triple

T23306407
Position Surface form Disambiguated ID Type / Status
Subject Heiderhof E590447 entity
Predicate hasTransportConnection P845 FINISHED
Object Bonn urban area 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: Bonn urban area | Statement: [Heiderhof, hasTransportConnection, Bonn urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonn urban area
Context triple: [Heiderhof, hasTransportConnection, Bonn urban area]
  • A. Cologne Bonn metropolitan region
    The Cologne Bonn metropolitan region is a major urban and economic area in western Germany centered around the cities of Cologne and Bonn and their surrounding municipalities.
  • B. Bremen metropolitan region
    The Bremen metropolitan region is an urban area in northwestern Germany centered around the city-state of Bremen, encompassing surrounding cities and towns with integrated economic, transport, and cultural links.
  • C. Bergisches Land metropolitan region
    The Bergisches Land metropolitan region is an urbanized area in western Germany characterized by its hilly landscape, industrial heritage, and network of medium-sized cities east of the Rhine.
  • D. Bonn-Duisdorf
    Bonn-Duisdorf is a district in the western part of Bonn, Germany, characterized by residential areas and local commercial infrastructure.
  • E. Bonn chosen
    Bonn is a historic German city on the Rhine River, best known for being the birthplace of Ludwig van Beethoven and the former seat of the federal government before reunification.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972737c08190bd011776564c3861 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.