Triple

T17154656
Position Surface form Disambiguated ID Type / Status
Subject euro E416311 entity
Predicate replacedCurrency P2867 FINISHED
Object Spanish peseta E70238 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: Spanish peseta | Statement: [euro, replacedCurrency, Spanish peseta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spanish peseta
Context triple: [euro, replacedCurrency, Spanish peseta]
  • A. Spanish peseta chosen
    The Spanish peseta was Spain’s former national currency, used from the 19th century until it was replaced by the euro in 2002.
  • B. La Peseta
    La Peseta is a Madrid Metro station on Line 11 serving the La Peseta neighborhood in the Carabanchel district of Madrid, Spain.
  • C. Catalan pound
    The Catalan pound was the historical monetary unit used in medieval and early modern Catalonia before the adoption of more centralized Spanish currencies.
  • D. Castilian real
    The Castilian real was a historical Spanish silver coin and monetary unit widely used in Castile and later across the Spanish Empire.
  • E. Spanish dollar
    The Spanish dollar was a widely circulated silver coin that became a de facto global currency from the 16th to 19th centuries, heavily used in international trade across Europe, the Americas, and Asia.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40a6b7c8190838e588c4fd81d95 completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415f3cd481908e96ca294cf3b247 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:37 a.m.