Triple

T4687537
Position Surface form Disambiguated ID Type / Status
Subject Christian Schibsted E103956 entity
Predicate founded P104 FINISHED
Object Aftenposten 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 | Statement: [Christian Schibsted, founded, Aftenposten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aftenposten
Context triple: [Christian Schibsted, founded, Aftenposten]
  • 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. Dagbladet
    Dagbladet is a major Norwegian daily newspaper known for its liberal editorial stance and significant influence on public debate in Norway.
  • C. 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.
  • D. Jyllands-Posten
    Jyllands-Posten is a major Danish daily newspaper known internationally for its influential political coverage and for sparking global debate over freedom of expression.
  • E. Politiken
    Politiken is a leading Danish daily newspaper known for its national and international news coverage, cultural reporting, and liberal editorial stance.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd638593048190ad4af82f735d467a completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03b75e3481908aa27eeaeec490ca completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.