Triple

T8664195
Position Surface form Disambiguated ID Type / Status
Subject Brussels–Cologne E205623 entity
Predicate usesStation P726 FINISHED
Object Köln Hauptbahnhof E187425 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: Köln Hauptbahnhof | Statement: [Brussels–Cologne, usesStation, Köln Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Köln Hauptbahnhof
Context triple: [Brussels–Cologne, usesStation, Köln Hauptbahnhof]
  • 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. Koblenz Hauptbahnhof
    Koblenz Hauptbahnhof is the main railway station and central transport hub of the city of Koblenz in western Germany.
  • D. Dortmund Hauptbahnhof
    Dortmund Hauptbahnhof is the main railway station and central transportation hub of the city of Dortmund in Germany.
  • E. Hamm Hauptbahnhof
    Hamm Hauptbahnhof is the central railway station and major rail hub serving the city of Hamm in North Rhine-Westphalia, 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc489f7edc8190bde1b4dc09249207 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd0d95ec81908669ee35f0987be7 completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.