Triple

T14244784
Position Surface form Disambiguated ID Type / Status
Subject St. Goarshausen E353103 entity
Predicate hasRailwayStation P918 FINISHED
Object St. Goarshausen station E1085058 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: St. Goarshausen station | Statement: [St. Goarshausen, hasRailwayStation, St. Goarshausen station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Goarshausen station
Context triple: [St. Goarshausen, hasRailwayStation, St. Goarshausen station]
  • A. St. Goar station chosen
    St. Goar station is a railway station in the town of St. Goar, Germany, serving passenger trains along the scenic Middle Rhine Valley.
  • B. 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.
  • C. Feuchtwangen station
    Feuchtwangen station is a regional railway station in the town of Feuchtwangen in Bavaria, Germany, serving local passenger rail 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. Neustadt (Aisch) station
    Neustadt (Aisch) station is a regional railway station in the town of Neustadt an der Aisch in Bavaria, Germany, serving local passenger rail services.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6245d6a481909ef665748cd4d64c completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1081148190b8830615a34711c0 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:08 a.m.