Triple
T25616407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Servicemembers Civil Relief Act |
E642170
|
entity |
| Predicate | interestRateCapAppliesTo |
P164796
|
FINISHED |
| Object | pre-service 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: pre-service loans | Statement: [Servicemembers Civil Relief Act, interestRateCapAppliesTo, pre-service loans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interestRateCapAppliesTo Context triple: [Servicemembers Civil Relief Act, interestRateCapAppliesTo, pre-service loans]
-
A.
interestRateCap
chosen
Indicates a contractual limit on how high an applicable interest rate is allowed to rise.
-
B.
interestRateStructure
Indicates the relationship defining how interest rates are organized, structured, or vary (e.g., over time, by term, or by conditions) within a financial arrangement.
-
C.
interestRateSensitivity
Indicates how strongly the value, performance, or behavior of something changes in response to movements in interest rates.
-
D.
interestRateDetermination
Indicates the relationship by which the applicable interest rate is set, defined, or adjusted for a financial obligation or instrument.
-
E.
paymentPercentageCap
Indicates the maximum percentage limit that can be applied to a payment amount.
- 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_69e77e7a96748190b10f2699041e4e43 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 21, 2026, 5 p.m.