Triple

T2820441
Position Surface form Disambiguated ID Type / Status
Subject Chemnitz–Leipzig railway E54793 entity
Predicate hasStation P35 FINISHED
Object Chemnitz Hauptbahnhof E9646 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: Chemnitz Hauptbahnhof | Statement: [Chemnitz–Leipzig railway, hasStation, Chemnitz Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chemnitz Hauptbahnhof
Context triple: [Chemnitz–Leipzig railway, hasStation, Chemnitz Hauptbahnhof]
  • A. Chemnitz Hauptbahnhof chosen
    Chemnitz Hauptbahnhof is the main railway station and central transportation hub of the city of Chemnitz in Saxony, Germany.
  • B. Chemnitz Zentralhaltestelle
    Chemnitz Zentralhaltestelle is the main central public transport hub in Chemnitz, Germany, where numerous tram and bus lines intersect.
  • C. Dresden Hauptbahnhof
    Dresden Hauptbahnhof is the main central railway station of Dresden, Germany, serving as a major regional and long-distance transport hub.
  • D. Dresden-Neustadt station
    Dresden-Neustadt station is a major railway hub in the Neustadt district of Dresden, Germany, serving regional and long-distance train services.
  • E. Gera Hauptbahnhof
    Gera Hauptbahnhof is the main railway station and central transport hub of the city of Gera in Thuringia, 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde6e85008190a08eb2bf8e393e7e completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055d3dbb8819094df5e6751dd96c4 completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 9:59 p.m.