Triple
T23513741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Direct Unsubsidized Loan |
E572500
|
entity |
| Predicate | hasAnnualLoanLimit |
P111822
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Direct Unsubsidized Loan, hasAnnualLoanLimit, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnnualLoanLimit Context triple: [Direct Unsubsidized Loan, hasAnnualLoanLimit, yes]
-
A.
monetaryLimit
Indicates a constraint or maximum allowable amount of money associated with an action, transaction, or relationship.
-
B.
hasMaximumBalanceLimit
Indicates that there is an upper bound on the balance that an account or entity is allowed to hold.
-
C.
subjectToAnnualCap
chosen
Indicates that the related amount, usage, or activity is limited by a maximum allowable value that applies on an annual basis.
-
D.
designedForMaximumAnnualTransfer
Indicates that something is intended or optimized to handle the highest possible amount of transfer within a one-year period.
-
E.
loanLimitType
Indicates the category or rule that defines how a loan’s maximum allowable amount or terms are limited.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa80174c819088c9c19fdcf2a133 |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:08 p.m.