Triple

T18127758
Position Surface form Disambiguated ID Type / Status
Subject Rothenburg (Switzerland) E433923 entity
Predicate hasRailwayStation P918 FINISHED
Object Rothenburg station NE NERFINISHED

How this triple was built (3 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: Rothenburg station | Statement: [Rothenburg (Switzerland), hasRailwayStation, Rothenburg station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rothenburg station
Context triple: [Rothenburg (Switzerland), hasRailwayStation, Rothenburg station]
  • A. Nürnberg Röthenbach station
    Nürnberg Röthenbach station is an underground Nuremberg U-Bahn station in the southwest of the city serving as a key public transport hub for the surrounding residential and commercial areas.
  • B. Ansbach station
    Ansbach station is the main railway station serving the town of Ansbach in Bavaria, Germany, providing regional and long-distance train connections.
  • C. Nürnberg-Steinbühl station
    Nürnberg-Steinbühl station is a local railway station in Nuremberg, Germany, serving regional and S-Bahn commuter services within the city’s rail network.
  • D. Suhl station
    Suhl station is the main railway station serving the city of Suhl in Thuringia, Germany, providing regional and intercity train connections.
  • E. Günzburg station
    Günzburg station is a regional railway station in the Bavarian town of Günzburg, Germany, serving as a local transport hub on important rail routes in the area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rothenburg station
Target entity description: Rothenburg station is a local railway stop serving the municipality of Rothenburg in the canton of Lucerne, Switzerland.
  • A. Nürnberg Röthenbach station
    Nürnberg Röthenbach station is an underground Nuremberg U-Bahn station in the southwest of the city serving as a key public transport hub for the surrounding residential and commercial areas.
  • B. Ansbach station
    Ansbach station is the main railway station serving the town of Ansbach in Bavaria, Germany, providing regional and long-distance train connections.
  • C. Nürnberg-Steinbühl station
    Nürnberg-Steinbühl station is a local railway station in Nuremberg, Germany, serving regional and S-Bahn commuter services within the city’s rail network.
  • D. Suhl station
    Suhl station is the main railway station serving the city of Suhl in Thuringia, Germany, providing regional and intercity train connections.
  • E. Günzburg station
    Günzburg station is a regional railway station in the Bavarian town of Günzburg, Germany, serving as a local transport hub on important rail routes in the area.
  • F. None of above. chosen

Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddef4cd88190b16ef0d6ed3968c6 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.