Triple

T19050523
Position Surface form Disambiguated ID Type / Status
Subject Düren E466244 entity
Predicate hasRailwayStation P918 FINISHED
Object Düren station 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: Düren station | Statement: [Düren, hasRailwayStation, Düren station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Düren station
Context triple: [Düren, hasRailwayStation, Düren station]
  • A. Akköprü station
    Akköprü station is a metro stop on Ankara’s M1 line, serving passengers in the Akköprü area of Turkey’s capital.
  • B. Konak station
    Konak station is a central underground stop on the İzmir Metro system, serving as one of the main transit hubs in the heart of İzmir, Turkey.
  • C. Kröpcke station
    Kröpcke station is a major underground public transport hub in central Hanover, Germany, serving as a key interchange point for the city’s light rail and bus networks.
  • D. Ziegelstein station
    Ziegelstein station is a stop on the Nuremberg U-Bahn network serving the Ziegelstein district in Nuremberg, Germany.
  • E. Dinslaken station
    Dinslaken station is a regional railway station in the town of Dinslaken in North Rhine-Westphalia, Germany, serving as a local transport hub for passenger rail services.
  • 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: Düren station
Target entity description: Düren station is a major railway hub in the town of Düren in North Rhine-Westphalia, Germany, serving regional and long-distance passenger services.
  • A. Akköprü station
    Akköprü station is a metro stop on Ankara’s M1 line, serving passengers in the Akköprü area of Turkey’s capital.
  • B. Konak station
    Konak station is a central underground stop on the İzmir Metro system, serving as one of the main transit hubs in the heart of İzmir, Turkey.
  • C. Kröpcke station
    Kröpcke station is a major underground public transport hub in central Hanover, Germany, serving as a key interchange point for the city’s light rail and bus networks.
  • D. Ziegelstein station
    Ziegelstein station is a stop on the Nuremberg U-Bahn network serving the Ziegelstein district in Nuremberg, Germany.
  • E. Dinslaken station
    Dinslaken station is a regional railway station in the town of Dinslaken in North Rhine-Westphalia, Germany, serving as a local transport hub for passenger rail services.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc02597c8190b39fd2c7b7e42258 completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.