Triple
T32178840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paycheck Protection Program |
E821927
|
entity |
| Predicate | totalAuthorizedFunding |
P75110
|
FINISHED |
| Object | hundreds of billions of U.S. dollars |
—
|
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: hundreds of billions of U.S. dollars | Statement: [Paycheck Protection Program, totalAuthorizedFunding, hundreds of billions of U.S. dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalAuthorizedFunding Context triple: [Paycheck Protection Program, totalAuthorizedFunding, hundreds of billions of U.S. dollars]
-
A.
fundingAuthorizationAmount
chosen
Indicates the specific amount of money that has been formally approved or authorized to fund something.
-
B.
totalAidAmountUSD
Indicates the total monetary value of aid provided, expressed in U.S. dollars.
-
C.
authorizesFundingFor
Indicates that one entity grants official approval or permission for financial resources to be provided to another entity or purpose.
-
D.
permittedFundingFrom
Indicates that providing financial resources from one entity to another is allowed under specified rules or conditions.
-
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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: May 1, 2026, 12:34 a.m.