Triple
T1427794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 ETFs |
E30371
|
entity |
| Predicate | benchmarkCurrency |
P245
|
FINISHED |
| Object | U.S. dollar |
—
|
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: U.S. dollar | Statement: [S&P 500 ETFs, benchmarkCurrency, U.S. dollar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benchmarkCurrency Context triple: [S&P 500 ETFs, benchmarkCurrency, U.S. dollar]
-
A.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
B.
currency
chosen
Indicates that one entity serves as the medium of exchange or monetary unit used by another entity (such as a country, region, or system).
-
C.
currencyProject
Indicates a relationship where a project is associated with, uses, or is denominated in a particular currency.
-
D.
currencyModel
Indicates that something uses, is based on, or conforms to a particular system or model of currency (e.g., monetary structure, denomination scheme, or valuation framework).
-
E.
majorCurrencyPair
Indicates that the two currencies form a widely traded, highly liquid foreign-exchange pair considered significant in global markets.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c52e4ed881908d85e0cb9fe851ac |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c4752abc8190a33b634c4d6fad28 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.