Triple
T3770241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | euro |
E82778
|
entity |
| Predicate | replacedCurrency |
P2867
|
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: [euro, replacedCurrency, Portuguese escudo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portuguese escudo Context triple: [euro, replacedCurrency, 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.
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.
-
E.
Orlandi Valuta
Orlandi Valuta is a money transfer and financial services brand owned by Western Union, primarily serving customers in the United States and Latin America.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc2f016c81909c2e3c85dbc3c259 |
completed | March 8, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5287908819084319b8dfa407635 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.