Triple
T23513854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard Repayment Plan |
E572502
|
entity |
| Predicate | loanTypeLimitation |
P9377
|
FINISHED |
| Object | does not apply to private student loans |
—
|
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: does not apply to private student loans | Statement: [Standard Repayment Plan, loanTypeLimitation, does not apply to private student loans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loanTypeLimitation Context triple: [Standard Repayment Plan, loanTypeLimitation, does not apply to private student loans]
-
A.
loanLimitType
Indicates the category or rule that defines how a loan’s maximum allowable amount or terms are limited.
-
B.
guaranteeLimitBasis
Indicates the basis or criteria used to determine the limit of a guarantee in a contractual or financial context.
-
C.
monetaryLimit
Indicates a constraint or maximum allowable amount of money associated with an action, transaction, or relationship.
-
D.
loanType
chosen
Indicates the specific category or kind of loan associated with an entity or transaction.
-
E.
typeOfLimit
Indicates that one entity specifies the category or kind of limit that applies to another entity.
- 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.