Triple

T20643368
Position Surface form Disambiguated ID Type / Status
Subject Hanover S-Bahn network E507285 entity
Predicate hasStation P35 FINISHED
Object Hildesheim 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: Hildesheim Hauptbahnhof | Statement: [Hanover S-Bahn network, hasStation, Hildesheim Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hildesheim Hauptbahnhof
Context triple: [Hanover S-Bahn network, hasStation, Hildesheim Hauptbahnhof]
  • A. Hildesheim Hauptbahnhof chosen
    Hildesheim Hauptbahnhof is the main railway station in Hildesheim, Germany, serving as a regional and long-distance transport hub in Lower Saxony.
  • B. Braunschweig Hauptbahnhof
    Braunschweig Hauptbahnhof is the main railway station and central transportation hub of the city of Braunschweig in Lower Saxony, Germany.
  • 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. Hannover Hauptbahnhof
    Hannover Hauptbahnhof is the main central railway station of Hanover, Germany, serving as a major national and international transport hub.
  • 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 (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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1c51f48190abba54a5aace9fc8 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.