Triple
T25597169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Military Lending Act |
E641685
|
entity |
| Predicate | typeOfRate |
P9385
|
FINISHED |
| Object | Military Annual Percentage Rate |
—
|
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: Military Annual Percentage Rate | Statement: [Military Lending Act, typeOfRate, Military Annual Percentage Rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRate Context triple: [Military Lending Act, typeOfRate, Military Annual Percentage Rate]
-
A.
hasRateType
chosen
Indicates the specific category or scheme under which a rate (such as a price, fee, or interest) is defined or applied.
-
B.
typicalRate
Indicates the standard or commonly expected rate at which something occurs, is charged, or is applied in a given context.
-
C.
priceType
Indicates the classification or category of a price associated with an entity (e.g., list price, sale price, wholesale price).
-
D.
feeType
Indicates the specific category or classification of a fee associated with a transaction, service, or obligation.
-
E.
rateDefinition
Indicates that one entity specifies or defines the rate or ratio at which another entity changes, is applied, or is measured.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 21, 2026, 4:28 p.m.