Triple

T14280652
Position Surface form Disambiguated ID Type / Status
Subject Portuguese real E354035 entity
Predicate successorCurrency P3072 FINISHED
Object Portuguese escudo E145229 NE 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: Portuguese escudo | Statement: [Portuguese real, successorCurrency, Portuguese escudo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portuguese escudo
Context triple: [Portuguese real, successorCurrency, Portuguese escudo]
  • A. Portuguese escudo chosen
    The Portuguese escudo was Portugal’s former national currency, used from 1911 until the adoption of the euro in 1999/2002.
  • B. Spanish escudo
    The Spanish escudo was Spain’s former national currency used for several centuries before being succeeded by the peseta.
  • C. Portuguese real
    The Portuguese real was the former monetary unit of Portugal, used for centuries until it was replaced by the escudo in the early 20th century.
  • D. La Peseta
    La Peseta is a Madrid Metro station on Line 11 serving the La Peseta neighborhood in the Carabanchel district of Madrid, Spain.
  • E. Gulden
    The Gulden was a historical European gold-based coin and monetary unit used in various German states, including Hesse-Kassel, before the adoption of more modern currencies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697b5e8081908e5b91a3a1c55df9 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1884f481908ea266c1651c4b59 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:10 a.m.