Triple
T34382571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grameen Bank |
E882475
|
entity |
| Predicate | loanRepaymentFrequency |
P41187
|
FINISHED |
| Object | weekly installments |
—
|
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: weekly installments | Statement: [Grameen Bank, loanRepaymentFrequency, weekly installments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loanRepaymentFrequency Context triple: [Grameen Bank, loanRepaymentFrequency, weekly installments]
-
A.
payFrequency
chosen
Indicates how often a payment or series of payments is made within a given time period.
-
B.
disbursementFrequency
Indicates how often payments or funds are distributed over a given period.
-
C.
interestRateResetFrequency
Indicates how often the applicable interest rate is recalculated or adjusted over the life of a financial agreement.
-
D.
paymentPeriodLength
Indicates the duration or length of time that each payment period covers in a recurring payment or billing schedule.
-
E.
redemptionFrequency
Indicates how often a redemption action or event occurs within a given time period.
- 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.