Triple
T6245792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graduated Repayment Plan |
E139717
|
entity |
| Predicate | interestEffect |
P68586
|
FINISHED |
| Object | may result in more interest paid over life of loan than Standard Repayment Plan |
—
|
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: may result in more interest paid over life of loan than Standard Repayment Plan | Statement: [Graduated Repayment Plan, interestEffect, may result in more interest paid over life of loan than Standard Repayment Plan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interestEffect Context triple: [Graduated Repayment Plan, interestEffect, may result in more interest paid over life of loan than Standard Repayment Plan]
-
A.
earnOn
Indicates that one entity gains income, profit, or returns as a result of another entity or activity.
-
B.
interestRateName
Indicates the specific label or designation used to identify a particular interest rate.
-
C.
subjectInterest
Indicates that the subject has an interest in, or is concerned with, the object.
-
D.
predictedEffect
chosen
Indicates that one entity is expected to cause, influence, or result in a particular outcome or consequence for another entity.
-
E.
expectedBenefit
Indicates the benefit or positive outcome that is anticipated to result from a particular action, decision, or relationship between entities.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0631d9e648190a59ab4001f506424 |
completed | March 22, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c056037bf88190a0a3fe7429345d0b |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:23 p.m.