Triple

T12600387
Position Surface form Disambiguated ID Type / Status
Subject Wuppertal-Barmen station E300840 entity
Predicate connectsTo P845 FINISHED
Object Düsseldorf Hauptbahnhof E819071 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: Düsseldorf Hauptbahnhof | Statement: [Wuppertal-Barmen station, connectsTo, Düsseldorf Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Düsseldorf Hauptbahnhof
Context triple: [Wuppertal-Barmen station, connectsTo, Düsseldorf Hauptbahnhof]
  • A. Düsseldorf Hauptbahnhof chosen
    Düsseldorf Hauptbahnhof is the main railway station of Düsseldorf and a major regional and long-distance transport hub in western Germany.
  • B. Dortmund Hauptbahnhof
    Dortmund Hauptbahnhof is the main railway station and central transportation hub of the city of Dortmund in Germany.
  • C. Duisburg Hauptbahnhof
    Duisburg Hauptbahnhof is the central railway station and major transportation hub serving the city of Duisburg in western Germany.
  • D. Bonn Hauptbahnhof
    Bonn Hauptbahnhof is the central railway station of Bonn, Germany, serving as a key regional and long-distance transport hub with extensive connections across the Rhine-Ruhr area and beyond.
  • E. Cologne Central Station
    Cologne Central Station is the main railway hub of Cologne, Germany, serving as a major national and international transit point adjacent to the city’s famous cathedral.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954d1f6ac8190ab21ca7bcbc80129 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671926a7c8190a41725cfde7836b1 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:09 p.m.