Triple

T2164587
Position Surface form Disambiguated ID Type / Status
Subject SEK E46879 entity
Predicate replaced P101 FINISHED
Object Swedish riksdaler E46880 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: Swedish riksdaler | Statement: [SEK, replaced, Swedish riksdaler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swedish riksdaler
Context triple: [SEK, replaced, Swedish riksdaler]
  • A. Swedish krona
    The Swedish krona is the official currency of Sweden, used for everyday transactions and major national and international payments.
  • B. Danish rigsdaler
    The Danish rigsdaler was Denmark’s former currency used until the 19th century, when it was superseded by the Danish krone.
  • C. riksdaler chosen
    The riksdaler was Sweden’s former national currency used for several centuries before being replaced by the Swedish krona in the late 19th century.
  • D. Finnish markka
    The Finnish markka was the national currency of Finland until it was replaced by the euro in 2002.
  • E. Austrian gulden
    The Austrian gulden was the principal monetary unit of the Austrian Empire and later Austria-Hungary until it was replaced by the krone in the late 19th century.
  • 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_69ae6538c750819093d2e3f8e5f66a63 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:45 p.m.