Triple
T1705301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NLG |
E36858
|
entity |
| Predicate | wasEuroLegacyCurrencyCode |
P11136
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [NLG, wasEuroLegacyCurrencyCode, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasEuroLegacyCurrencyCode Context triple: [NLG, wasEuroLegacyCurrencyCode, true]
-
A.
formerCurrency
Indicates that an entity was once used as a currency in a place or time period but is no longer in official use.
-
B.
reintroducedCurrencyOf
Indicates that a currency has been brought back into use as legal tender in a particular country or region after having been previously replaced, discontinued, or suspended.
-
C.
adoptedEuro
chosen
Indicates that a country or entity has officially adopted the euro as its legal currency.
-
D.
hasCurrencyUsedInManyCountries
Indicates that a currency is officially used as legal tender in multiple countries.
-
E.
formerCurrencyUnion
Indicates that two or more entities were once part of the same currency union, but that monetary union has since been dissolved.
- F. None of above.
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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab75ad24408190814069e6e3ef9e59 |
completed | March 7, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69aa61bad17c8190861b92cfb423f68f |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.