Triple
T25028255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exchange Stabilization Fund |
E626768
|
entity |
| Predicate | originalFundingAmountUSD |
P75110
|
FINISHED |
| Object | 2000000000 |
—
|
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: 2000000000 | Statement: [Exchange Stabilization Fund, originalFundingAmountUSD, 2000000000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalFundingAmountUSD Context triple: [Exchange Stabilization Fund, originalFundingAmountUSD, 2000000000]
-
A.
originalPriceCurrency
Indicates the currency in which an item's original price was specified.
-
B.
fundingAuthorizationAmount
chosen
Indicates the specific amount of money that has been formally approved or authorized to fund something.
-
C.
totalAidAmountUSD
Indicates the total monetary value of aid provided, expressed in U.S. dollars.
-
D.
taxAmountOriginal
Indicates the original amount of tax calculated or recorded for a transaction before any adjustments, discounts, or corrections.
-
E.
initialTotalAmount
Indicates the original overall quantity or value before any changes, adjustments, or transactions occur.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 18, 2026, 6:07 a.m.