Triple
T29393501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franc |
E745432
|
entity |
| Predicate | usedAsPrimaryCurrency |
P95366
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Franc, usedAsPrimaryCurrency, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsPrimaryCurrency Context triple: [Franc, usedAsPrimaryCurrency, Yes]
-
A.
usedAsCurrency
Indicates that something functions as money or a medium of exchange within an economic system.
-
B.
usesCurrencyInitially
Indicates that an entity originally adopts or operates with a particular currency at the start of a defined period or process.
-
C.
usesCurrency
Indicates that one entity conducts its financial transactions or values using the monetary unit represented by the other entity.
-
D.
isPrimaryReserveCurrency
Indicates that a currency serves as the main reserve currency held by central banks and institutions for international trade, finance, and store-of-value purposes.
-
E.
hasDominantCurrency
chosen
Indicates that one currency is the primary or controlling medium of exchange or valuation within a given context, such as a market, region, or financial system.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 28, 2026, 2:44 p.m.