Triple
T33605053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grameen microfinance model |
E860825
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | lending methodology |
C58383
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: lending methodology Context triple: [Grameen microfinance model, instanceOf, lending methodology]
-
A.
mortgage lending regulation
Mortgage lending regulation encompasses the laws, standards, and supervisory practices that govern how lenders offer, underwrite, disclose, and service mortgage loans to protect borrowers and ensure the stability and fairness of housing finance markets.
-
B.
mortgage underwriting software
Mortgage underwriting software is a system that automates the evaluation of borrower risk and loan eligibility by analyzing financial data, credit profiles, property information, and lending criteria to support accurate and compliant mortgage approval decisions.
-
C.
loan program
A loan program is a structured financial offering that provides borrowers with funds under defined terms, such as interest rates, repayment schedules, and eligibility criteria, to support specific purposes like education, housing, or business development.
-
D.
automated underwriting system
An automated underwriting system is a software-driven platform that evaluates risk and makes credit or insurance approval decisions by analyzing applicant data against predefined rules and predictive models.
-
E.
moneylender
A moneylender is a person or entity that provides loans, typically at interest, often operating outside formal banking systems and sometimes serving borrowers who lack access to traditional credit.
- F. None of above. chosen
Provenance (1 batch)
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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:41 a.m.