Triple
T6778103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Production Credit Association |
E155608
|
entity |
| Predicate | interestRateBasis |
P6447
|
FINISHED |
| Object | cost of funds from Farm Credit funding mechanisms |
—
|
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: cost of funds from Farm Credit funding mechanisms | Statement: [Production Credit Association, interestRateBasis, cost of funds from Farm Credit funding mechanisms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interestRateBasis Context triple: [Production Credit Association, interestRateBasis, cost of funds from Farm Credit funding mechanisms]
-
A.
interestRateName
Indicates the specific label or designation used to identify a particular interest rate.
-
B.
calculationBasis
chosen
Indicates the rule, method, or reference standard used as the foundation for performing a calculation in the relationship.
-
C.
effectOnTotalInterest
Indicates how a given factor or action changes the overall amount of interest accrued or owed.
-
D.
finType
Indicates that an entity is of a finite type, meaning it has only a finite number of distinct possible values or elements.
-
E.
conversionBasis
Indicates the reference standard, rate, or unit system used as the foundation for converting one quantity, unit, or representation into another.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2689d408190bc2c1ce4ae9c1b13 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d095dcac8190bb9b943f50a7f885 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:13 p.m.