Triple

T20955652
Position Surface form Disambiguated ID Type / Status
Subject Lusophone Africa E516093 entity
Predicate hasCommonCurrencyHistory P83726 FINISHED
Object Portuguese escudo 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: Portuguese escudo | Statement: [Lusophone Africa, hasCommonCurrencyHistory, Portuguese escudo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portuguese escudo
Context triple: [Lusophone Africa, hasCommonCurrencyHistory, 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. Portuguese Indian escudo
    The Portuguese Indian escudo was the official currency of Portuguese India from 1958 until the territory’s annexation by India in 1961, replacing the rupia at a fixed conversion rate.
  • C. Spanish escudo
    The Spanish escudo was Spain’s former national currency used for several centuries before being succeeded by the peseta.
  • D. 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.
  • E. La Peseta
    La Peseta is a Madrid Metro station on Line 11 serving the La Peseta neighborhood in the Carabanchel district of Madrid, Spain.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6b19048190b266ed24f6fc1a97 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:28 p.m.