Triple
T7683392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Development Fund |
E174049
|
entity |
| Predicate | loanCharacteristic |
P78907
|
FINISHED |
| Object | below-market interest rates |
—
|
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: below-market interest rates | Statement: [African Development Fund, loanCharacteristic, below-market interest rates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loanCharacteristic Context triple: [African Development Fund, loanCharacteristic, below-market interest rates]
-
A.
loanStructure
Indicates the specific terms, components, and repayment arrangement that define how a loan is organized between parties.
-
B.
downPaymentCharacteristic
Indicates characteristics or conditions associated with a required down payment in a transaction or agreement.
-
C.
loanType
Indicates the specific category or kind of loan associated with an entity or transaction.
-
D.
hasLongerRepaymentTermThan
Indicates that the repayment term of one entity (e.g., a loan or debt) is longer in duration than the repayment term of another entity.
-
E.
loanSource
Indicates that one entity is the origin or provider of a loan extended to another entity.
- F. None of above. chosen
Provenance (4 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7048b0b448190889bd40e0a38e51a |
completed | March 27, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69c701618d3481908be84b76f36ac5a1 |
completed | March 27, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69c7048a01508190bc2e9ae8b863486c |
completed | March 27, 2026, 10:28 p.m. |
Created at: March 27, 2026, 4:01 p.m.