Triple

T18597349
Position Surface form Disambiguated ID Type / Status
Subject Aarhus Letbane E454525 entity
Predicate hasStation P35 FINISHED
Object Aarhus H 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: Aarhus H station | Statement: [Aarhus Letbane, hasStation, Aarhus H station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aarhus H station
Context triple: [Aarhus Letbane, hasStation, Aarhus H station]
  • A. Aarhus Central Station chosen
    Aarhus Central Station is the main railway hub of Aarhus, Denmark, serving as a key regional and national transport interchange.
  • B. Herning Station
    Herning Station is the main railway station serving the town of Herning in central Jutland, Denmark, functioning as a regional transport hub.
  • C. Hillerød Station
    Hillerød Station is a major railway and S-train hub in Hillerød, Denmark, serving as an important transit point for regional and commuter rail services north of Copenhagen.
  • D. Odense Station
    Odense Station is the main railway hub in Odense, Denmark, serving as a central stop on the country’s intercity and regional rail network.
  • E. Hellerup Station
    Hellerup Station is a major railway and S-train hub in the northern part of Copenhagen, Denmark, serving as an important interchange for regional and commuter rail services.
  • 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_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.