Triple

T8527558
Position Surface form Disambiguated ID Type / Status
Subject Lars Heikensten E201855 entity
Predicate employer P7 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: [Lars Heikensten, employer, Sveriges Riksbank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sveriges Riksbank
Context triple: [Lars Heikensten, employer, 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. Skandinaviska Enskilda Banken
    Skandinaviska Enskilda Banken (SEB) is a major Swedish financial group providing banking and financial services across the Nordic and Baltic regions.
  • E. 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.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6477100819081fa20cb6b8ea3d7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d54ef908190970a1010c8018abd completed April 2, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:17 p.m.