Triple

T20459034
Position Surface form Disambiguated ID Type / Status
Subject Hangelsberg E501872 entity
Predicate hasRailwayStation P918 FINISHED
Object Hangelsberg 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: Hangelsberg railway station | Statement: [Hangelsberg, hasRailwayStation, Hangelsberg railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hangelsberg railway station
Context triple: [Hangelsberg, hasRailwayStation, Hangelsberg railway station]
  • A. 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.
  • B. Geltendorf station
    Geltendorf station is a regional railway station in the municipality of Geltendorf in Bavaria, Germany, serving as a local transport hub on several suburban and regional rail lines.
  • C. Herrenberg station
    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.
  • D. 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.
  • E. Langenfeld-Berghausen station
    Langenfeld-Berghausen station is a regional railway stop in the Berghausen district of Langenfeld, North Rhine-Westphalia, Germany, serving local commuter and regional train services.
  • 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: Hangelsberg railway station
Target entity description: Hangelsberg railway station is a local train stop in the village of Hangelsberg in Saxony, Germany, serving regional rail services.
  • A. 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.
  • B. Geltendorf station
    Geltendorf station is a regional railway station in the municipality of Geltendorf in Bavaria, Germany, serving as a local transport hub on several suburban and regional rail lines.
  • C. Herrenberg station
    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.
  • D. 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.
  • E. Langenfeld-Berghausen station
    Langenfeld-Berghausen station is a regional railway stop in the Berghausen district of Langenfeld, North Rhine-Westphalia, Germany, serving local commuter and regional train services.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a4652c8190acf79fa2e285e436 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.