Triple

T20617293
Position Surface form Disambiguated ID Type / Status
Subject Kolding railway station E506599 entity
Predicate connectsTo P845 FINISHED
Object Odense railway station NE NERFINISHED

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: Odense railway station | Statement: [Kolding railway station, connectsTo, Odense railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odense railway station
Context triple: [Kolding railway station, connectsTo, Odense railway station]
  • A. Odense Station chosen
    Odense Station is the main railway hub in Odense, Denmark, serving as a central stop on the country’s intercity and regional rail network.
  • B. Vejle Station
    Vejle Station is the main railway station in the Danish city of Vejle, serving as a regional and intercity transport hub in Jutland.
  • C. Esbjerg railway station
    Esbjerg railway station is the main passenger rail hub in the Danish port city of Esbjerg, providing regional and intercity train connections.
  • D. Horsens railway station
    Horsens railway station is the main train station serving the town of Horsens in Denmark, providing regional and intercity rail connections.
  • E. Herning Station
    Herning Station is the main railway station serving the town of Herning in central Jutland, Denmark, functioning as a regional transport hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aadd30b88190af3a05527ad5ac64 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.