Triple
T12354183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulgarian currency board |
E294565
|
entity |
| Predicate | euroFixingEffectiveFrom |
P62525
|
FINISHED |
| Object | 1999-01-01 |
—
|
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: 1999-01-01 | Statement: [Bulgarian currency board, euroFixingEffectiveFrom, 1999-01-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: euroFixingEffectiveFrom Context triple: [Bulgarian currency board, euroFixingEffectiveFrom, 1999-01-01]
-
A.
exchangeRateFixingDate
Indicates the specific date on which an exchange rate is determined or fixed for use in a financial transaction or agreement.
-
B.
exchangeRateToPapiermark
Indicates the conversion rate or value of one currency in terms of the Papiermark.
-
C.
euroChangeoverCashDate
Indicates the date on which a country or region officially switched its physical cash currency to the euro.
-
D.
peggedToEuroSince
chosen
Indicates that the value of one currency or financial instrument has been fixed or tightly linked to the euro starting from a specific point in time.
-
E.
exchangeableAtBancaDItaliaUntil
Indicates that something (typically a financial instrument or currency) can be exchanged at the Bank of Italy up to a specified date.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8bc60c8190b0ceb84093e70db4 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.