Triple

T8389685
Position Surface form Disambiguated ID Type / Status
Subject Dresden-Neustadt station E197909 entity
Predicate connectsTo P845 FINISHED
Object Dresden Hauptbahnhof E196421 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: Dresden Hauptbahnhof | Statement: [Dresden-Neustadt station, connectsTo, Dresden Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dresden Hauptbahnhof
Context triple: [Dresden-Neustadt station, connectsTo, Dresden Hauptbahnhof]
  • A. Dresden Hauptbahnhof chosen
    Dresden Hauptbahnhof is the main central railway station of Dresden, Germany, serving as a major regional and long-distance transport hub.
  • B. 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.
  • C. Chemnitz Hauptbahnhof
    Chemnitz Hauptbahnhof is the main railway station and central transportation hub of the city of Chemnitz in Saxony, Germany.
  • D. Magdeburg Hauptbahnhof
    Magdeburg Hauptbahnhof is the main railway station and central transport hub of the city of Magdeburg in Saxony-Anhalt, Germany.
  • E. Dessau Hauptbahnhof
    Dessau Hauptbahnhof is the main railway station and central transport hub serving the city of Dessau-Roßlau in Saxony-Anhalt, 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810ac380819095bd67f0555ac2a8 completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d1ffa988190a7b0a6b1017e144d completed April 2, 2026, 7:39 a.m.
Created at: March 30, 2026, 6:03 p.m.