Triple

T20617295
Position Surface form Disambiguated ID Type / Status
Subject Kolding railway station E506599 entity
Predicate serves P98 FINISHED
Object city of Kolding 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: city of Kolding | Statement: [Kolding railway station, serves, city of Kolding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Kolding
Context triple: [Kolding railway station, serves, city of Kolding]
  • A. Kolding chosen
    Kolding is a historic Danish city in Southern Jutland known for Koldinghus Castle, its fjord-side location, and its role as a regional cultural and educational center.
  • B. Koldingen
    Koldingen is a village and district of the town of Pattensen in Lower Saxony, Germany.
  • C. Kolding Municipality
    Kolding Municipality is a local government area in Southern Denmark centered on the city of Kolding, an important regional hub for industry, education, and transport.
  • D. Odense Municipality
    Odense Municipality is a Danish local government area on the island of Funen, best known for encompassing the city of Odense, birthplace of author Hans Christian Andersen.
  • E. Skanderborg
    Skanderborg is a Danish town in Jutland known for its lakeside setting and annual music festival, Smukfest.
  • 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.