Triple

T5258895
Position Surface form Disambiguated ID Type / Status
Subject Bonnier House, Stockholm E118770 entity
Predicate associatedWith P37 FINISHED
Object Bonnierförlagen E506455 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: Bonnierförlagen | Statement: [Bonnier House, Stockholm, associatedWith, Bonnierförlagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonnierförlagen
Context triple: [Bonnier House, Stockholm, associatedWith, Bonnierförlagen]
  • A. Bonnier Group chosen
    Bonnier Group is a major Swedish family-owned media conglomerate with interests in publishing, broadcasting, and digital media across multiple countries.
  • B. Sanoma
    Sanoma is a major Finnish media and learning company known for its newspapers, magazines, digital media, and educational publishing across Europe.
  • C. Bonnier family
    The Bonnier family is a prominent Swedish media dynasty that has owned and led the Bonnier media conglomerate for generations.
  • D. Aftonbladet
    Aftonbladet is one of Sweden’s largest and most influential daily newspapers, known for its tabloid format and extensive online presence.
  • E. Bonnier House, Stockholm
    Bonnier House, Stockholm is a prominent publishing headquarters building in Stockholm designed by renowned Swedish architect Ivar Tengbom.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba791c08190a18176feae8d1475 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18770e608190932d9de276e47212 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:50 p.m.