Triple

T15183890
Position Surface form Disambiguated ID Type / Status
Subject Wolfsburg Hauptbahnhof E362816 entity
Predicate hasAbbreviation P43 FINISHED
Object Wolfsburg Hbf E362816 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: Wolfsburg Hbf | Statement: [Wolfsburg Hauptbahnhof, hasAbbreviation, Wolfsburg Hbf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolfsburg Hbf
Context triple: [Wolfsburg Hauptbahnhof, hasAbbreviation, Wolfsburg Hbf]
  • A. Wolfsburg Hauptbahnhof chosen
    Wolfsburg Hauptbahnhof is the main railway station serving the city of Wolfsburg in Lower Saxony, Germany, providing regional and long-distance train connections.
  • B. 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.
  • C. Hagen Hauptbahnhof
    Hagen Hauptbahnhof is the main railway station and central transport hub of the city of Hagen in North Rhine-Westphalia, Germany.
  • D. Hildesheim Hauptbahnhof
    Hildesheim Hauptbahnhof is the main railway station in Hildesheim, Germany, serving as a regional and long-distance transport hub in Lower Saxony.
  • E. Bielefeld Hauptbahnhof
    Bielefeld Hauptbahnhof is the main railway station and central transportation hub of the city of Bielefeld in Germany.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006674c088190ba635a78c30f5637 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2a2eb48190a569847d2f583c61 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:09 a.m.