Triple
T7350504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigeria Trust Fund |
E169486
|
entity |
| Predicate | lendingTerms |
P32140
|
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: [Nigeria Trust Fund, lendingTerms, below-market interest rates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lendingTerms Context triple: [Nigeria Trust Fund, lendingTerms, below-market interest rates]
-
A.
loanStructure
chosen
Indicates the specific terms, components, and repayment arrangement that define how a loan is organized between parties.
-
B.
settlementTerm
Indicates the agreed conditions, timing, and method by which an obligation, transaction, or dispute is settled between parties.
-
C.
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.
-
D.
lendingArm
Indicates that one entity provides financial support or resources to another, typically in the form of a loan or credit.
-
E.
creditTermFocus
Indicates that the relationship or context specifically emphasizes or centers on the terms or conditions of credit.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69c6f02aeeb8819099d1626566cec18b |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:05 p.m.