Triple
T7461049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. savings notes |
E176248
|
entity |
| Predicate | interestComputation |
P24421
|
FINISHED |
| Object | accrued over time |
—
|
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: accrued over time | Statement: [U.S. savings notes, interestComputation, accrued over time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interestComputation Context triple: [U.S. savings notes, interestComputation, accrued over time]
-
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.
interestRateName
Indicates the specific label or designation used to identify a particular interest rate.
-
D.
calculationType
chosen
Indicates the specific method, formula, or approach used to perform a calculation in the described relationship.
-
E.
unsubsidizedInterest
Indicates that interest accrues on a loan without being reduced, covered, or offset by any form of subsidy.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d6cf8c8190a31cac121d151d78 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:38 p.m.