Triple

T15847716
Position Surface form Disambiguated ID Type / Status
Subject Rastatt E384255 entity
Predicate hasRailwayStation P918 FINISHED
Object Rastatt station E475261 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: Rastatt station | Statement: [Rastatt, hasRailwayStation, Rastatt station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rastatt station
Context triple: [Rastatt, hasRailwayStation, Rastatt station]
  • A. Rastatt station chosen
    Rastatt station is the main railway station serving the town of Rastatt in Baden-Württemberg, Germany, providing regional and long-distance rail 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. Langenau station
    Langenau station is a regional railway stop in the town of Langenau in Baden-Württemberg, Germany, serving local passenger 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. Göppingen station
    Göppingen station is a regional and long-distance railway station in the town of Göppingen in Baden-Württemberg, Germany, serving as a stop on the important Fils Valley line between Stuttgart and Ulm.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca96c588190922b1f7556dd08cf completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa143dcb48190951648edeae6542d completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.