Triple

T31600050
Position Surface form Disambiguated ID Type / Status
Subject cruzeiro real E806325 entity
Predicate exchangeRateToPredecessor P172009 FINISHED
Object 1 cruzeiro real = 1,000 cruzeiros 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 cruzeiro real = 1,000 cruzeiros | Statement: [cruzeiro real, exchangeRateToPredecessor, 1 cruzeiro real = 1,000 cruzeiros]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exchangeRateToPredecessor
Context triple: [cruzeiro real, exchangeRateToPredecessor, 1 cruzeiro real = 1,000 cruzeiros]
  • A. successorCurrencySubunitRatio
    Indicates the numerical conversion ratio between the smallest subunit of a successor currency and the subunit of the currency it replaces.
  • B. previousCurrency
    Indicates that one currency served as the predecessor or was replaced by another currency in a monetary system or sequence.
  • C. exchangeRateToCUPBeforeUnification
    Indicates the conversion rate that applied to an entity’s value when converting into Cuban pesos (CUP) prior to the currency unification.
  • D. successorCurrencyOf
    Indicates that one currency has replaced another as the official or primary currency in use.
  • E. exchangeRateToPapiermark
    Indicates the conversion rate or value of one currency in terms of the Papiermark.
  • 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_69f348d54ccc8190a03b5df9a2b40b25 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a956e9b08190bf83547bba8e8147 completed May 3, 2026, 1:48 a.m.
PD Predicate disambiguation batch_69f6a75656e081908739ed9e2f600e42 completed May 3, 2026, 1:39 a.m.
PDg Predicate description generation batch_69f6a8036ab481908019f2f071fa406e completed May 3, 2026, 1:42 a.m.
Created at: April 30, 2026, 10:32 p.m.