Triple

T2037927
Position Surface form Disambiguated ID Type / Status
Subject Sakari Tuomioja E44674 entity
Predicate employer P7 FINISHED
Object Bank of Finland E205954 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: Bank of Finland | Statement: [Sakari Tuomioja, employer, Bank of Finland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bank of Finland
Context triple: [Sakari Tuomioja, employer, Bank of Finland]
  • A. Bank of Finland chosen
    The Bank of Finland is the central bank of Finland, responsible for the country’s monetary policy and financial stability as part of the Eurosystem.
  • B. Sveriges Riksbank
    Sveriges Riksbank is Sweden’s central bank, notable for funding and establishing the Nobel Memorial Prize in Economic Sciences.
  • C. Stockholms Banco
    Stockholms Banco was the 17th-century Swedish bank often regarded as Europe’s first central bank and an early issuer of banknotes.
  • D. Danske Bank
    Danske Bank is a major Nordic financial institution headquartered in Copenhagen, Denmark, offering a wide range of banking and financial services across Northern Europe.
  • E. Norges Bank
    Norges Bank is Norway’s central bank, responsible for conducting monetary policy, issuing currency, and maintaining financial stability in the country.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb95062c481908058d6da35337680 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ff63de081908795a95c998dd9ac completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.