Triple

T2434553
Position Surface form Disambiguated ID Type / Status
Subject Chemnitz public transport network E52924 entity
Predicate connectsTo P845 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 public transport network, connectsTo, Chemnitz Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chemnitz Hauptbahnhof
Context triple: [Chemnitz public transport network, connectsTo, 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9cbfcb081909238e3942e59ba37 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf6e23088190b0ce2feaa3eddda4 completed March 9, 2026, 12:39 p.m.
Created at: March 6, 2026, 9:43 p.m.