Triple

T5357122
Position Surface form Disambiguated ID Type / Status
Subject Dessau E102721 entity
Predicate hasRailwayStation P918 FINISHED
Object Dessau Hauptbahnhof E286776 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: Dessau Hauptbahnhof | Statement: [Dessau, hasRailwayStation, Dessau Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dessau Hauptbahnhof
Context triple: [Dessau, hasRailwayStation, Dessau Hauptbahnhof]
  • A. Dessau Hauptbahnhof chosen
    Dessau Hauptbahnhof is the main railway station and central transport hub serving the city of Dessau-Roßlau in Saxony-Anhalt, Germany.
  • B. Dresden Hauptbahnhof
    Dresden Hauptbahnhof is the main central railway station of Dresden, Germany, serving as a major regional and long-distance transport hub.
  • C. Berlin-Spandau station
    Berlin-Spandau station is a major railway and transport hub in western Berlin, serving long-distance, regional, and S-Bahn trains as well as local bus and U-Bahn connections.
  • D. Berlin-Hermsdorf station
    Berlin-Hermsdorf station is a suburban railway station in Berlin’s Hermsdorf district, serving as part of the city’s S-Bahn commuter rail network.
  • E. Berlin Waidmannslust station
    Berlin Waidmannslust station is a suburban railway station in Berlin’s Waidmannslust district, serving as a stop on the city’s S-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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd863099b081909d20f7014b98de5a completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21e6762481909278935a4eeee177 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:01 p.m.