Triple
T34753620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CUC$ |
E1001854
|
entity |
| Predicate | peggedCurrencyReference |
P19139
|
FINISHED |
| Object | United States dollar |
—
|
NE NERFINISHED |
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: United States dollar | Statement: [CUC$, peggedCurrencyReference, United States dollar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peggedCurrencyReference Context triple: [CUC$, peggedCurrencyReference, United States dollar]
-
A.
currencyPeg
Indicates that one currency’s value is fixed or tightly linked to the value of another currency or a basket of currencies.
-
B.
pegTargetCurrency
chosen
Indicates that one currency’s value is fixed or tightly linked to the value of a specified target currency.
-
C.
associatedCurrencyCode
Indicates the currency code that is linked to or used in connection with the given entity or transaction.
-
D.
formerPegCurrencyCode
Indicates that a currency was previously pegged to another currency identified by the specified currency code.
-
E.
isPegged
Indicates that one entity’s value, status, or behavior is fixed or tightly linked to that of another entity, typically so that changes in the reference entity directly determine changes in the pegged entity.
- 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.