Triple
T24270370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P Kensho New Economies Indices |
E605259
|
entity |
| Predicate | indexCurrency |
P4256
|
FINISHED |
| Object | multiple currencies |
—
|
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: multiple currencies | Statement: [S&P Kensho New Economies Indices, indexCurrency, multiple currencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indexCurrency Context triple: [S&P Kensho New Economies Indices, indexCurrency, multiple currencies]
-
A.
currencyInfluence
Indicates how one currency affects the value, stability, or behavior of another currency or an economic system.
-
B.
involvesCurrency
chosen
Indicates that the relationship or action includes or pertains to the use, exchange, or specification of a particular currency.
-
C.
currency
Indicates that one entity serves as the medium of exchange or monetary unit used by another entity (such as a country, region, or system).
-
D.
currencyPeg
Indicates that one currency’s value is fixed or tightly linked to the value of another currency or a basket of currencies.
-
E.
influencedCurrencyName
Indicates that one currency has affected or shaped the value, status, or characteristics of another 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d59e0808190a1048e4e2e5689f3 |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.