Triple

T19027104
Position Surface form Disambiguated ID Type / Status
Subject Blocket AB E465636 entity
Predicate owner P347 FINISHED
Object Schibsted 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: Schibsted | Statement: [Blocket AB, owner, Schibsted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schibsted
Context triple: [Blocket AB, owner, Schibsted]
  • A. Schibsted chosen
    Schibsted is a Norwegian media and online marketplace group that owns numerous newspapers, digital platforms, and classified services across the Nordic region and beyond.
  • B. Sanoma
    Sanoma is a major Finnish media and learning company known for its newspapers, magazines, digital media, and educational publishing across Europe.
  • C. Altaba Inc.
    Altaba Inc. was a publicly traded investment company formed from the remnants of Yahoo! Inc. after the sale of its core internet business to Verizon, primarily holding stakes in Alibaba Group and Yahoo! Japan.
  • D. Bonnier Group
    Bonnier Group is a major Swedish family-owned media conglomerate with interests in publishing, broadcasting, and digital media across multiple countries.
  • E. Hubert Burda Media
    Hubert Burda Media is a major German media and publishing company known for its magazines, digital platforms, and involvement in cultural and media awards.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d73dc404819092059e496662d151 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.