Triple

T874729
Position Surface form Disambiguated ID Type / Status
Subject Aftenposten E18891 entity
Predicate nameChange P65 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: [Aftenposten, nameChange, Aftenposten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aftenposten
Context triple: [Aftenposten, nameChange, 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. Ilta-Sanomat
    Ilta-Sanomat is one of Finland’s largest and most influential tabloid newspapers, known for its wide circulation and popular online news portal.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac992d8c819088800f5a713fa7a4 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c01af9608190b3b735c590024f03 completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:39 p.m.