Triple
T10438090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ROL |
E246093
|
entity |
| Predicate | typeOfMonetaryUnit |
P11731
|
FINISHED |
| Object | fiat currency |
—
|
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: fiat currency | Statement: [ROL, typeOfMonetaryUnit, fiat currency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMonetaryUnit Context triple: [ROL, typeOfMonetaryUnit, fiat currency]
-
A.
monetaryUnitOfAccount
Indicates that something serves as the standard unit in which the value of goods, services, and financial transactions is measured and recorded.
-
B.
currencyType
chosen
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
C.
typeOfMonetaryAuthorityUnit
Indicates that one entity functions as a specific kind or category of monetary authority unit in relation to another entity.
-
D.
monetarySystemType
Indicates the type or classification of a monetary system associated with an entity.
-
E.
currencySubunitOf
Indicates that a monetary subunit (such as cents) is a fractional unit belonging to and defined in terms of a larger base currency.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe083cd881909d2d8ad75d1d94cb |
completed | April 7, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69d4fb73a5e48190a8df4775bc5da80f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:14 p.m.