Triple

T20772023
Position Surface form Disambiguated ID Type / Status
Subject Frankfurt–Brussels E511259 entity
Predicate viaStation P64719 FINISHED
Object Köln Hbf 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: Köln Hbf | Statement: [Frankfurt–Brussels, viaStation, Köln Hbf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Köln Hbf
Context triple: [Frankfurt–Brussels, viaStation, Köln Hbf]
  • A. Cologne Central Station chosen
    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.
  • B. 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.
  • C. Düsseldorf Hauptbahnhof
    Düsseldorf Hauptbahnhof is the main railway station of Düsseldorf and a major regional and long-distance transport hub in western Germany.
  • D. Koblenz Hauptbahnhof
    Koblenz Hauptbahnhof is the main railway station and central transport hub of the city of Koblenz in western Germany.
  • E. Hagen Hauptbahnhof
    Hagen Hauptbahnhof is the main railway station and central transport hub of the city of Hagen in North Rhine-Westphalia, 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2681ff88190bfe5938c2db6b2c4 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.