Triple

T19084565
Position Surface form Disambiguated ID Type / Status
Subject Svenska Dagbladet E467111 entity
Predicate competitor P1375 FINISHED
Object Aftonbladet 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: Aftonbladet | Statement: [Svenska Dagbladet, competitor, Aftonbladet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aftonbladet
Context triple: [Svenska Dagbladet, competitor, Aftonbladet]
  • A. Aftonbladet chosen
    Aftonbladet is one of Sweden’s largest and most influential daily newspapers, known for its tabloid format and extensive online presence.
  • B. Svenska Dagbladet
    Svenska Dagbladet is a major Swedish daily newspaper known for its national and international news coverage, opinion pieces, and cultural reporting.
  • C. Stockholms Posten
    Stockholms Posten was an influential late 18th-century Swedish newspaper known for its literary and political content, with prominent writers such as Johan Henric Kellgren contributing to it.
  • D. Dagbladet
    Dagbladet is a major Norwegian daily newspaper known for its liberal editorial stance and significant influence on public debate in Norway.
  • E. Dagens Nyheter
    Dagens Nyheter is one of Sweden’s leading daily newspapers, known for its national influence, comprehensive news coverage, and liberal editorial stance.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34600f88190bd96bcc2c5c08d14 completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.