Triple

T2079933
Position Surface form Disambiguated ID Type / Status
Subject North Korean won E45214 entity
Predicate blackMarketExchangeRate P35646 FINISHED
Object differs significantly from official rate 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: differs significantly from official rate | Statement: [North Korean won, blackMarketExchangeRate, differs significantly from official rate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: blackMarketExchangeRate
Context triple: [North Korean won, blackMarketExchangeRate, differs significantly from official rate]
  • A. baseExchange
    Indicates an exchange relationship where one entity serves as the base or reference for converting, trading, or swapping value with another.
  • B. exchanges
    Indicates a reciprocal transfer of something of value between two or more entities.
  • C. exchangeRateToPoundSterling
    Indicates the rate at which one unit of a given currency can be converted into British pounds sterling.
  • D. exchangeRateCharacteristic
    Indicates a relationship where a specific property or feature is attributed to an exchange rate, characterizing how that rate behaves or is defined.
  • 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. chosen

Provenance (4 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba3307308190ab329fe3192b2e0f completed March 7, 2026, 5:40 a.m.
PD Predicate disambiguation batch_69abb7b298a48190b4bdf7c9800b058d completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb94ec400819097596732aabed854 completed March 7, 2026, 5:36 a.m.
Created at: March 4, 2026, 7:41 p.m.