Triple
T23123033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PLUS Loan |
E576951
|
entity |
| Predicate | interestAccruesDuring |
P72318
|
FINISHED |
| Object | in-school period |
—
|
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: in-school period | Statement: [PLUS Loan, interestAccruesDuring, in-school period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interestAccruesDuring Context triple: [PLUS Loan, interestAccruesDuring, in-school period]
-
A.
interestCharged
Indicates that a specified amount of interest is imposed on a principal or outstanding balance over a given period.
-
B.
effectOnTotalInterest
Indicates how a given factor or action changes the overall amount of interest accrued or owed.
-
C.
maximumAccrualPeriod
chosen
Indicates the longest time span over which something (such as interest, benefits, or rights) can accumulate before it stops accruing.
-
D.
interestRateDetermination
Indicates the relationship by which the applicable interest rate is set, defined, or adjusted for a financial obligation or instrument.
-
E.
accrualUnit
Indicates the unit of measure (such as days, months, or years) in which something accumulates or is accrued over time.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e517a0481909829a73fdf255d1c |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:59 p.m.