Triple

T18734318
Position Surface form Disambiguated ID Type / Status
Subject Cannstatt E458120 entity
Predicate hasTransportConnection P845 FINISHED
Object Bad Cannstatt railway 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: Bad Cannstatt railway station | Statement: [Cannstatt, hasTransportConnection, Bad Cannstatt railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Cannstatt railway station
Context triple: [Cannstatt, hasTransportConnection, Bad Cannstatt railway station]
  • A. Bad Mergentheim station
    Bad Mergentheim station is a regional railway station in the spa town of Bad Mergentheim in Baden-Württemberg, Germany, providing local and regional train connections.
  • B. Blaubeuren station
    Blaubeuren station is a regional railway stop in the town of Blaubeuren in Baden-Württemberg, Germany, serving local passenger services on the surrounding rail network.
  • C. Bad Nauheim station
    Bad Nauheim station is a regional railway station in the spa town of Bad Nauheim in Hesse, Germany, providing local and commuter rail services.
  • D. Karlsruhe-Mühlburg station
    Karlsruhe-Mühlburg station is a local railway stop in the Mühlburg district of Karlsruhe, Germany, serving regional and commuter rail traffic.
  • E. Schwenningen (Neckar) station
    Schwenningen (Neckar) station is a regional railway station serving the Schwenningen district of Villingen-Schwenningen in Baden-Württemberg, Germany.
  • 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: Bad Cannstatt railway station
Target entity description: Bad Cannstatt railway station is a major rail hub in Stuttgart, Germany, serving the Bad Cannstatt district with regional, long-distance, and S-Bahn services.
  • A. Bad Mergentheim station
    Bad Mergentheim station is a regional railway station in the spa town of Bad Mergentheim in Baden-Württemberg, Germany, providing local and regional train connections.
  • B. Blaubeuren station
    Blaubeuren station is a regional railway stop in the town of Blaubeuren in Baden-Württemberg, Germany, serving local passenger services on the surrounding rail network.
  • C. Bad Nauheim station
    Bad Nauheim station is a regional railway station in the spa town of Bad Nauheim in Hesse, Germany, providing local and commuter rail services.
  • D. Karlsruhe-Mühlburg station
    Karlsruhe-Mühlburg station is a local railway stop in the Mühlburg district of Karlsruhe, Germany, serving regional and commuter rail traffic.
  • E. Schwenningen (Neckar) station
    Schwenningen (Neckar) station is a regional railway station serving the Schwenningen district of Villingen-Schwenningen in Baden-Württemberg, Germany.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7a06788190a8e09c657aaeb8e5 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:51 a.m.