Triple

T20018475
Position Surface form Disambiguated ID Type / Status
Subject Ulstein E494783 entity
Predicate hasMajorCompany P588 FINISHED
Object Ulstein Group 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: Ulstein Group | Statement: [Ulstein, hasMajorCompany, Ulstein Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulstein Group
Context triple: [Ulstein, hasMajorCompany, Ulstein Group]
  • A. Wilhelmsen
    Wilhelmsen is a surname most prominently associated with the Norwegian global maritime industry group Wilh. Wilhelmsen Holding ASA.
  • B. Ulstein chosen
    Ulstein is a coastal municipality in western Norway known for its maritime industry and shipbuilding.
  • C. Norse Atlantic ASA
    Norse Atlantic ASA is a Norwegian aviation company that owns and operates the low-cost long-haul carrier Norse Atlantic Airways, focusing primarily on transatlantic routes.
  • D. Kongsberg Maritime
    Kongsberg Maritime is a Norwegian company that develops and supplies advanced maritime technology and solutions for offshore, marine, and subsea industries worldwide.
  • E. Hans Ditlev Bendixsen Shipyard
    Hans Ditlev Bendixsen Shipyard was a prominent late-19th-century shipbuilding yard on the U.S. West Coast, known for constructing wooden sailing vessels used in the lumber trade.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623e40748190b1abb0ead9acab4e completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.