Triple

T21158539
Position Surface form Disambiguated ID Type / Status
Subject Osnabrück–Bielefeld connections E521373 entity
Predicate hasTerminus P388 FINISHED
Object Bielefeld Hauptbahnhof 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: Bielefeld Hauptbahnhof | Statement: [Osnabrück–Bielefeld connections, hasTerminus, Bielefeld Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bielefeld Hauptbahnhof
Context triple: [Osnabrück–Bielefeld connections, hasTerminus, Bielefeld Hauptbahnhof]
  • A. Bielefeld Hauptbahnhof chosen
    Bielefeld Hauptbahnhof is the main railway station and central transportation hub of the city of Bielefeld in Germany.
  • B. Hagen Hauptbahnhof
    Hagen Hauptbahnhof is the main railway station and central transport hub of the city of Hagen in North Rhine-Westphalia, Germany.
  • C. Bückeburg station
    Bückeburg station is a regional railway station in the town of Bückeburg in Lower Saxony, Germany, serving as a stop on important local and regional rail routes.
  • D. Dortmund Hauptbahnhof
    Dortmund Hauptbahnhof is the main railway station and central transportation hub of the city of Dortmund in Germany.
  • E. Hildesheim Hauptbahnhof
    Hildesheim Hauptbahnhof is the main railway station in Hildesheim, Germany, serving as a regional and long-distance transport hub in Lower Saxony.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252dc3f0819094c6acf52a9f308d completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.