Triple
T25026002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Budget of Indonesia |
E626708
|
entity |
| Predicate | deficitFinancedBy |
P157556
|
FINISHED |
| Object | domestic borrowing |
—
|
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: domestic borrowing | Statement: [State Budget of Indonesia, deficitFinancedBy, domestic borrowing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deficitFinancedBy Context triple: [State Budget of Indonesia, deficitFinancedBy, domestic borrowing]
-
A.
managedFederalDebt
Indicates that an entity is responsible for overseeing, controlling, or administering the federal government’s debt obligations.
-
B.
federalDeficitReductionMeasure
Indicates a governmental action or policy specifically intended to decrease the federal budget deficit.
-
C.
deficitQuarter
Indicates that an entity experienced a financial deficit during a specific fiscal quarter.
-
D.
fiscalPolicyAuthority
Indicates that an entity has the power or responsibility to design, implement, or control fiscal policy decisions such as taxation, government spending, and budgetary measures.
-
E.
fiscalIssue
Indicates a relationship where an entity is involved in, affected by, or associated with a financial or budgetary problem, concern, or matter.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44f6ad0408190a69a32f5ab79a108 |
completed | May 1, 2026, 6:59 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:07 a.m.