Triple

T3474199
Position Surface form Disambiguated ID Type / Status
Subject Ilta-Sanomat E73331 entity
Predicate ownedBy P347 FINISHED
Object Sanoma Corporation E356531 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: Sanoma Corporation | Statement: [Ilta-Sanomat, ownedBy, Sanoma Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanoma Corporation
Context triple: [Ilta-Sanomat, ownedBy, Sanoma Corporation]
  • A. Sanoma chosen
    Sanoma is a major Finnish media and learning company known for its newspapers, magazines, digital media, and educational publishing across Europe.
  • B. Egmont Group
    Egmont Group is an international network of national financial intelligence units that collaborate to combat money laundering, terrorist financing, and other financial crimes.
  • C. Bertelsmann
    Bertelsmann is a major German multinational media, services, and education conglomerate known for owning prominent publishing and broadcasting companies worldwide.
  • D. Aunus Group
    The Aunus Group was a Finnish military formation that operated on the eastern front during World War II, particularly in the region of East Karelia.
  • E. Lagardère Group
    Lagardère Group is a major French multinational media conglomerate with core businesses in publishing, travel retail, and entertainment.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb580d4c819080bcc0bccd1e18e2 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e5efe9c819087fbda6832598c04 completed March 13, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:17 p.m.