Triple

T18597353
Position Surface form Disambiguated ID Type / Status
Subject Aarhus Letbane E454525 entity
Predicate hasStation P35 FINISHED
Object Lisbjergskolen 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: Lisbjergskolen station | Statement: [Aarhus Letbane, hasStation, Lisbjergskolen station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisbjergskolen station
Context triple: [Aarhus Letbane, hasStation, Lisbjergskolen station]
  • A. Ny Ellebjerg Station
    Ny Ellebjerg Station is a major Copenhagen railway and metro interchange that serves as a key transit hub for the Valby district and surrounding areas.
  • B. Larsberg station
    Larsberg station is a stop on Stockholm’s Lidingöbanan light rail line serving the Larsberg area on the island of Lidingö in Sweden.
  • C. Vanløse station
    Vanløse station is a major public transport hub in Copenhagen that serves as an interchange between the S-train network and the Copenhagen Metro.
  • D. Henriksdal station
    Henriksdal station is a commuter rail stop in the Stockholm area that serves passengers on the Saltsjöbanan line.
  • E. Flintholm station
    Flintholm station is a major Copenhagen transport hub that serves both the Metro and S-train networks, facilitating easy transfers between multiple lines.
  • 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: Lisbjergskolen station
Target entity description: Lisbjergskolen station is a light rail stop on the Aarhus Letbane network in Aarhus, Denmark, serving the Lisbjerg area and its nearby school.
  • A. Ny Ellebjerg Station
    Ny Ellebjerg Station is a major Copenhagen railway and metro interchange that serves as a key transit hub for the Valby district and surrounding areas.
  • B. Larsberg station
    Larsberg station is a stop on Stockholm’s Lidingöbanan light rail line serving the Larsberg area on the island of Lidingö in Sweden.
  • C. Vanløse station
    Vanløse station is a major public transport hub in Copenhagen that serves as an interchange between the S-train network and the Copenhagen Metro.
  • D. Henriksdal station
    Henriksdal station is a commuter rail stop in the Stockholm area that serves passengers on the Saltsjöbanan line.
  • E. Flintholm station
    Flintholm station is a major Copenhagen transport hub that serves both the Metro and S-train networks, facilitating easy transfers between multiple lines.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5474ce0c08190b440cbe86b6ef7b9 completed April 19, 2026, 9:21 p.m.
Created at: April 10, 2026, 11:44 a.m.