Triple

T18597327
Position Surface form Disambiguated ID Type / Status
Subject Aarhus Letbane E454525 entity
Predicate operator P179 FINISHED
Object Aarhus Letbane I/S 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 Letbane I/S | Statement: [Aarhus Letbane, operator, Aarhus Letbane I/S]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aarhus Letbane I/S
Context triple: [Aarhus Letbane, operator, Aarhus Letbane I/S]
  • A. Aarhus Letbane chosen
    Aarhus Letbane is a light rail transit system serving the city of Aarhus and surrounding areas in Denmark.
  • B. Danske Statsbaner
    Danske Statsbaner is Denmark’s largest state-owned railway company, responsible for most passenger train services across the country.
  • C. Metro Service A/S
    Metro Service A/S is the company responsible for operating and managing the Copenhagen Metro system in Denmark.
  • D. Metroselskabet I/S
    Metroselskabet I/S is the publicly owned company responsible for developing, expanding, and overseeing the Copenhagen Metro system in Denmark.
  • E. Danish Transport Authority
    The Danish Transport Authority is the national government agency responsible for regulating and overseeing transport safety, infrastructure, and operations across Denmark’s transport sectors.
  • 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.