Triple

T5585523
Position Surface form Disambiguated ID Type / Status
Subject Estonian kroon E146745 entity
Predicate fixedExchangeRateToEUR P9578 FINISHED
Object 1 EUR = 15.6466 EEK LITERAL 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: 1 EUR = 15.6466 EEK | Statement: [Estonian kroon, fixedExchangeRateToEUR, 1 EUR = 15.6466 EEK]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fixedExchangeRateToEUR
Context triple: [Estonian kroon, fixedExchangeRateToEUR, 1 EUR = 15.6466 EEK]
  • A. fixedConversionRateToEuro chosen
    Indicates that one currency has a fixed, predetermined exchange rate relative to the euro.
  • B. fixedExchangeRateToUSD
    Indicates that the value of one currency is maintained at a constant, predetermined rate relative to the US dollar.
  • C. exchangeRateToPoundSterling
    Indicates the rate at which one unit of a given currency can be converted into British pounds sterling.
  • D. exchangeRateToPapiermark
    Indicates the conversion rate or value of one currency in terms of the Papiermark.
  • E. referenceForExchangeRates
    Indicates that something serves as the authoritative source or benchmark used to determine or look up exchange rates between currencies.
  • F. None of above.

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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020871a3c8190991f291295cadfa5 completed March 22, 2026, 5:01 p.m.
PD Predicate disambiguation batch_69c01b16b9bc8190ab0b945507d90e05 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:38 p.m.