Triple

T5333231
Position Surface form Disambiguated ID Type / Status
Subject Cologne Cathedral E123360 entity
Predicate adjacentTo P224 FINISHED
Object Cologne 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: Cologne Hauptbahnhof | Statement: [Cologne Cathedral, adjacentTo, Cologne Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cologne Hauptbahnhof
Context triple: [Cologne Cathedral, adjacentTo, Cologne 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. Frankfurt (Main) Hauptbahnhof
    Frankfurt (Main) Hauptbahnhof is one of Germany’s largest and busiest railway stations, serving as a major national and international transport hub in the city of Frankfurt.
  • C. Duisburg Hauptbahnhof
    Duisburg Hauptbahnhof is the central railway station and major transportation hub serving the city of Duisburg in western 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. Bern Hauptbahnhof
    Bern Hauptbahnhof is the main railway station in Switzerland’s capital city, serving as a major national and international transport hub.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ac8e10819088b6a9e02d927044 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18baeca081909acc11d0c6c89f6d completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.