Triple
T29554243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australia and Indonesia |
E749860
|
entity |
| Predicate | AustraliaIsMajorAidDonorTo |
P112491
|
FINISHED |
| Object | Indonesia |
—
|
NE NERFINISHED |
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: Indonesia | Statement: [Australia and Indonesia, AustraliaIsMajorAidDonorTo, Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AustraliaIsMajorAidDonorTo Context triple: [Australia and Indonesia, AustraliaIsMajorAidDonorTo, Indonesia]
-
A.
providedEconomicAidTo
Indicates that one entity has given financial or material support to another entity, typically to assist with economic needs or development.
-
B.
receivesMilitaryAidFrom
Indicates that one entity obtains military assistance, such as equipment, training, or funding, from another entity.
-
C.
providedMilitaryAidTo
Indicates that one entity has supplied military assistance, such as weapons, training, funding, or logistical support, to another entity.
-
D.
annualUSMilitaryAidApprox
Indicates the approximate amount of military aid the United States provides to a recipient on an annual basis.
-
E.
australiaSupports
chosen
Indicates that Australia provides assistance, endorsement, or backing to another entity or action.
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66d18c050819094ae0fdec7667e39 |
completed | May 2, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 5:15 p.m.