Triple
T4186499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commodity Credit Corporation |
E88323
|
entity |
| Predicate | canBorrowUpTo |
P32143
|
FINISHED |
| Object | US$30,000,000,000 |
—
|
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: US$30,000,000,000 | Statement: [Commodity Credit Corporation, canBorrowUpTo, US$30,000,000,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBorrowUpTo Context triple: [Commodity Credit Corporation, canBorrowUpTo, US$30,000,000,000]
-
A.
maximumLoanAmountUSD
chosen
Indicates the highest amount of money, expressed in U.S. dollars, that can be loaned under a given agreement or condition.
-
B.
loanLimitType
Indicates the category or rule that defines how a loan’s maximum allowable amount or terms are limited.
-
C.
maximumGrantAmount
Indicates the highest monetary value that can be awarded or granted under a specific grant, program, or agreement.
-
D.
canBorrowFrom
Indicates that one entity is permitted or able to borrow something (such as resources, items, or privileges) from another entity.
-
E.
authorizedBondAmount
Indicates the maximum bond value that has been formally approved or permitted for issuance or use in a given context.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af04b009dc8190abda3f149a5b16fa |
completed | March 9, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69af01935064819096b7619f42e164dd |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:45 p.m.