Triple
T1850466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bank Indonesia |
E41382
|
entity |
| Predicate | implementsPolicyInstrument |
P1652
|
FINISHED |
| Object | policy interest rate |
—
|
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: policy interest rate | Statement: [Bank Indonesia, implementsPolicyInstrument, policy interest rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: implementsPolicyInstrument Context triple: [Bank Indonesia, implementsPolicyInstrument, policy interest rate]
-
A.
implementedPolicy
Indicates that a particular policy has been put into effect or carried out by an entity.
-
B.
inspiredByPolicy
Indicates that an action, decision, or entity is motivated, guided, or shaped by a specific policy or set of policies.
-
C.
policyTool
chosen
Indicates that an entity is a tool, mechanism, or instrument used to design, implement, or enforce a policy.
-
D.
reflectsPolicy
Indicates that one entity embodies, represents, or is aligned with the rules, principles, or stance defined by a particular policy.
-
E.
usesPolicyModel
Indicates that one entity applies, relies on, or operates according to a particular policy model.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdca6d8819083c66f3a29fd9fd1 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.