Triple

T8375521
Position Surface form Disambiguated ID Type / Status
Subject Central Germany E197565 entity
Predicate hasTransportHub P2413 FINISHED
Object Leipzig Hauptbahnhof E200406 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: Leipzig Hauptbahnhof | Statement: [Central Germany, hasTransportHub, Leipzig Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leipzig Hauptbahnhof
Context triple: [Central Germany, hasTransportHub, Leipzig Hauptbahnhof]
  • A. Dresden Hauptbahnhof
    Dresden Hauptbahnhof is the main central railway station of Dresden, Germany, serving as a major regional and long-distance transport hub.
  • B. Magdeburg Hauptbahnhof
    Magdeburg Hauptbahnhof is the main railway station and central transport hub of the city of Magdeburg in Saxony-Anhalt, Germany.
  • C. Leipzig Hauptbahnhof (main railway station) chosen
    Leipzig Hauptbahnhof is one of Europe’s largest terminal railway stations, serving as a major transportation hub and commercial center in Leipzig, 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. Nürnberg Hauptbahnhof
    Nürnberg Hauptbahnhof is the main railway station and a central public transport hub in Nuremberg, Germany, serving regional, long-distance, and urban transit including the U-Bahn network.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80bf6b8081909b98762b1f900bef completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7f19ba08190a08cf5aea522c021 completed April 2, 2026, 3:52 a.m.
Created at: March 30, 2026, 6:01 p.m.