Triple
T880861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Fund for Agricultural Development |
E19022
|
entity |
| Predicate | financingInstrument |
P59
|
FINISHED |
| Object | loans |
—
|
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: loans | Statement: [International Fund for Agricultural Development, financingInstrument, loans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: financingInstrument Context triple: [International Fund for Agricultural Development, financingInstrument, loans]
-
A.
tradeInstrument
Indicates a relationship where one entity is used as a financial or commercial instrument in a trade or transaction involving another entity.
-
B.
underlyingInstrument
Indicates that one financial instrument serves as the reference or basis for the value, payoff, or structure of another financial instrument.
-
C.
authorizationInstrument
Indicates that one entity serves as the formal legal or official instrument that grants authority or permission for another entity or action.
-
D.
fundingModel
chosen
Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
-
E.
lenderType
Indicates the classification or category of the lender involved in a lending relationship (e.g., bank, individual, institution).
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4accb653c81909fe0753f78145be9 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8eca748190b58e0f08b30fba43 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.