Triple
T25412185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indonesia Raya |
E636730
|
entity |
| Predicate | regulatesPerformanceBy |
P65870
|
FINISHED |
| Object | Indonesian law |
—
|
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: Indonesian law | Statement: [Indonesia Raya, regulatesPerformanceBy, Indonesian law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatesPerformanceBy Context triple: [Indonesia Raya, regulatesPerformanceBy, Indonesian law]
-
A.
regulateBy
chosen
Indicates that one entity exercises control, guidance, or governance over another entity’s behavior, operation, or state through rules, mechanisms, or constraints.
-
B.
performanceTuningBy
Indicates that an entity’s performance has been adjusted, optimized, or fine-tuned by another entity.
-
C.
regulatesThrough
Indicates that one entity exerts control or influence over another by means of an intermediate mechanism, pathway, or process.
-
D.
regulatesIn
Indicates that one entity controls, modulates, or influences the activity, expression, or behavior of another entity within a system or process.
-
E.
regulatesWith
Indicates that one entity controls, modulates, or influences the activity, state, or behavior of another entity through some regulatory mechanism or interaction.
- 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 21, 2026, 1:55 p.m.