Triple

T2164607
Position Surface form Disambiguated ID Type / Status
Subject SEK E46879 entity
Predicate hasCoinsIssuedBy P29 FINISHED
Object Sveriges Riksbank E16267 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: Sveriges Riksbank | Statement: [SEK, hasCoinsIssuedBy, Sveriges Riksbank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sveriges Riksbank
Context triple: [SEK, hasCoinsIssuedBy, Sveriges Riksbank]
  • A. Sveriges Riksbank chosen
    Sveriges Riksbank is Sweden’s central bank, notable for funding and establishing the Nobel Memorial Prize in Economic Sciences.
  • B. Stockholms Banco
    Stockholms Banco was the 17th-century Swedish bank often regarded as Europe’s first central bank and an early issuer of banknotes.
  • C. Bank of Finland
    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.
  • D. Norges Bank
    Norges Bank is Norway’s central bank, responsible for conducting monetary policy, issuing currency, and maintaining financial stability in the country.
  • E. Danmarks Nationalbank
    Danmarks Nationalbank is Denmark’s central bank, responsible for issuing currency, maintaining monetary and financial stability, and managing the country’s foreign exchange reserves.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe8e1cfc81908adc0357ddfec701 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71b142208190a09c8e459b200ecb completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:45 p.m.