Triple

T3987507
Position Surface form Disambiguated ID Type / Status
Subject Sudanese pound E86907 entity
Predicate exchangeRateReplacedCurrency P6186 FINISHED
Object 1 Sudanese pound = 100 Sudanese dinars 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 Sudanese pound = 100 Sudanese dinars | Statement: [Sudanese pound, exchangeRateReplacedCurrency, 1 Sudanese pound = 100 Sudanese dinars]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exchangeRateReplacedCurrency
Context triple: [Sudanese pound, exchangeRateReplacedCurrency, 1 Sudanese pound = 100 Sudanese dinars]
  • A. exchangeRateToPoundSterling
    Indicates the rate at which one unit of a given currency can be converted into British pounds sterling.
  • B. replacedCurrencyRate
    Indicates that one currency exchange rate has been superseded or substituted by another rate in a given context.
  • C. replacedCurrency
    Indicates that one currency has been superseded and no longer used because another currency has taken its place.
  • D. replacedCurrencyAtRate chosen
    Indicates that one currency was substituted for another at a specified exchange rate.
  • E. exchangeRateCharacteristic
    Indicates a relationship where a specific property or feature is attributed to an exchange rate, characterizing how that rate behaves or is defined.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb81040481909b22e4c445ecae0f completed March 9, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69aef8f692008190bf4d637ffc3d3eaa completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:33 p.m.