Triple

T30379446
Position Surface form Disambiguated ID Type / Status
Subject Central Bank of the Republic of Guinea E772781 entity
Predicate countryUsesCurrency P18115 FINISHED
Object Guinea NE NERFINISHED

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: Guinea | Statement: [Central Bank of the Republic of Guinea, countryUsesCurrency, Guinea]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryUsesCurrency
Context triple: [Central Bank of the Republic of Guinea, countryUsesCurrency, Guinea]
  • A. currencyCountry
    Indicates that a given currency is officially used as legal tender in a particular country.
  • B. currencyFamily
    Indicates that two currencies belong to the same broader monetary family or classification, typically sharing a common origin, standard, or structural framework.
  • C. currencyArea chosen
    Indicates that one entity is the geographic or economic region in which the other entity’s currency is officially used or valid.
  • D. currencySignAdopted
    Indicates that a particular currency sign has been officially adopted for use with a given currency or monetary system.
  • E. denominationCountry
    Indicates the country with which a particular denomination (such as a currency or religious denomination) is officially associated or recognized.
  • 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_69f2248e3444819081b05712dc6873de completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69ff7595c9bc8190982c6e6e07a0c78f completed May 9, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69ff715432a88190a25670d26614bde2 completed May 9, 2026, 5:39 p.m.
Created at: April 29, 2026, 8 p.m.