Triple

T4739237
Position Surface form Disambiguated ID Type / Status
Subject Schibsted E105196 entity
Predicate hasSubsidiary P254 FINISHED
Object Aftenposten AS E18891 NE FINISHED

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: Aftenposten AS | Statement: [Schibsted, hasSubsidiary, Aftenposten AS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aftenposten AS
Context triple: [Schibsted, hasSubsidiary, Aftenposten AS]
  • A. Aftenposten chosen
    Aftenposten is Norway’s largest and one of its oldest daily newspapers, known for its national influence and comprehensive coverage of news, politics, and culture.
  • B. Bergens Tidende
    Bergens Tidende is a major Norwegian daily newspaper based in Bergen, known as one of the country’s leading regional papers.
  • C. Dagbladet
    Dagbladet is a major Norwegian daily newspaper known for its liberal editorial stance and significant influence on public debate in Norway.
  • D. Stavanger Aftenblad
    Stavanger Aftenblad is a major Norwegian regional newspaper based in Stavanger, known for its coverage of news and current affairs in southwestern Norway.
  • E. Arbeiderbladet
    Arbeiderbladet was a prominent Norwegian daily newspaper historically affiliated with the Norwegian Labour Party and influential in shaping the country’s social-democratic discourse.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6485d690819098dc4a974516da6b completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d8230208190bfa833f12573f78f completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:19 p.m.