Triple

T10816281
Position Surface form Disambiguated ID Type / Status
Subject Iittala E255236 entity
Predicate parentCompany P254 FINISHED
Object Fiskars Group E561130 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: Fiskars Group | Statement: [Iittala, parentCompany, Fiskars Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiskars Group
Context triple: [Iittala, parentCompany, Fiskars Group]
  • A. Fiskars Corporation chosen
    Fiskars Corporation is a Finnish consumer goods company best known for its iconic orange-handled scissors and ownership of several heritage home and lifestyle brands.
  • B. Raisio Group
    Raisio Group is a Finnish food and nutrition company best known internationally for its Benecol cholesterol-lowering products and grain-based foods.
  • C. Stora Enso
    Stora Enso is a Finnish-Swedish renewable materials and packaging company and one of the world’s largest producers of paper, pulp, and wood products.
  • D. Kirkbi A/S
    Kirkbi A/S is the privately held investment and holding company of the Kirk Kristiansen family, best known as the controlling owner of the LEGO Group and related assets.
  • E. Tarkett Group
    Tarkett Group is a global flooring and sports surfaces company known for producing a wide range of resilient, wood, laminate, and artificial turf solutions for commercial and residential markets.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733edab248190b2cf7f7bc2684468 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de855799748190b51745a198daa8d0 completed April 14, 2026, 6:20 p.m.
Created at: April 8, 2026, 9:18 p.m.