Triple

T21239649
Position Surface form Disambiguated ID Type / Status
Subject Peter Wallenberg Sr. E523436 entity
Predicate affiliatedWith P254 FINISHED
Object Skandinaviska Enskilda Banken 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: Skandinaviska Enskilda Banken | Statement: [Peter Wallenberg Sr., affiliatedWith, Skandinaviska Enskilda Banken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skandinaviska Enskilda Banken
Context triple: [Peter Wallenberg Sr., affiliatedWith, Skandinaviska Enskilda Banken]
  • A. 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.
  • 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. Swedbank
    Swedbank is a major Swedish banking group offering retail and corporate financial services primarily in Sweden and the Baltic countries.
  • D. Stockholms Banco
    Stockholms Banco was the 17th-century Swedish bank often regarded as Europe’s first central bank and an early issuer of banknotes.
  • E. Jyske Bank
    Jyske Bank is one of Denmark’s largest financial institutions, offering a wide range of banking and financial services to individuals and businesses.
  • 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73522acdc8190b3e155026a0445cd completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:46 p.m.