Triple

T20477967
Position Surface form Disambiguated ID Type / Status
Subject Knut Agathon Wallenberg E502369 entity
Predicate employer P7 FINISHED
Object Stockholms Enskilda Bank 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: Stockholms Enskilda Bank | Statement: [Knut Agathon Wallenberg, employer, Stockholms Enskilda Bank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stockholms Enskilda Bank
Context triple: [Knut Agathon Wallenberg, employer, Stockholms Enskilda Bank]
  • A. Stockholms Banco
    Stockholms Banco was the 17th-century Swedish bank often regarded as Europe’s first central bank and an early issuer of banknotes.
  • B. Svenska Handelsbanken
    Svenska Handelsbanken is a major Swedish bank known for its decentralized organization, conservative risk profile, and strong presence across the Nordic region and the UK.
  • C. Skandinaviska Enskilda Banken chosen
    Skandinaviska Enskilda Banken (SEB) is a major Swedish financial group providing banking and financial services across the Nordic and Baltic regions.
  • D. Swedbank
    Swedbank is a major Swedish banking group offering retail and corporate financial services primarily in Sweden and the Baltic countries.
  • E. Sveriges Riksbank
    Sveriges Riksbank is Sweden’s central bank, notable for funding and establishing the Nobel Memorial Prize in Economic Sciences.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69966b9748190a5296d8ab03c07a1 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:34 a.m.