Triple

T18735986
Position Surface form Disambiguated ID Type / Status
Subject Herrenberg E458163 entity
Predicate hasRailwayStation P918 FINISHED
Object Herrenberg 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: Herrenberg station | Statement: [Herrenberg, hasRailwayStation, Herrenberg station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herrenberg station
Context triple: [Herrenberg, hasRailwayStation, Herrenberg station]
  • A. Kuppenheim station
    Kuppenheim station is a local railway stop in the town of Kuppenheim in Baden-Württemberg, Germany, serving regional passenger traffic.
  • B. Oberlahnstein station
    Oberlahnstein station is a railway station in the town of Lahnstein, Germany, serving as a regional transport hub on the Rhine and Lahn railway routes.
  • C. Hartmannshof station
    Hartmannshof station is a local railway stop in the village of Hartmannshof in Bavaria, Germany, serving regional passenger services on the Nuremberg–Neumarkt–Regensburg line.
  • D. Vienenburg station
    Vienenburg station is a historic railway station in Vienenburg, Germany, known as one of the oldest surviving station buildings in the country and a regional rail hub in Lower Saxony.
  • E. Ahrensburg station
    Ahrensburg station is a railway station in the town of Ahrensburg in Schleswig-Holstein, Germany, serving regional train services in the Hamburg metropolitan 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: Herrenberg station
Target entity description: Herrenberg station is a railway station in the town of Herrenberg in Baden-Württemberg, Germany, serving as a regional transport hub with connections to local and S-Bahn services.
  • A. Kuppenheim station
    Kuppenheim station is a local railway stop in the town of Kuppenheim in Baden-Württemberg, Germany, serving regional passenger traffic.
  • B. Oberlahnstein station
    Oberlahnstein station is a railway station in the town of Lahnstein, Germany, serving as a regional transport hub on the Rhine and Lahn railway routes.
  • C. Hartmannshof station
    Hartmannshof station is a local railway stop in the village of Hartmannshof in Bavaria, Germany, serving regional passenger services on the Nuremberg–Neumarkt–Regensburg line.
  • D. Vienenburg station
    Vienenburg station is a historic railway station in Vienenburg, Germany, known as one of the oldest surviving station buildings in the country and a regional rail hub in Lower Saxony.
  • E. Ahrensburg station
    Ahrensburg station is a railway station in the town of Ahrensburg in Schleswig-Holstein, Germany, serving regional train services in the Hamburg metropolitan 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7ae10081908bc6857d1d147eef completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:51 a.m.