Triple
T25099932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PT Pembangkitan Jawa-Bali |
E628694
|
entity |
| Predicate | assetTypeOperated |
P71746
|
FINISHED |
| Object | thermal power plants |
—
|
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: thermal power plants | Statement: [PT Pembangkitan Jawa-Bali, assetTypeOperated, thermal power plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assetTypeOperated Context triple: [PT Pembangkitan Jawa-Bali, assetTypeOperated, thermal power plants]
-
A.
operatedAsset
chosen
Indicates that one entity is responsible for operating, managing, or running a particular asset.
-
B.
assetType
Indicates the specific category or classification of an asset within a broader asset framework or system.
-
C.
operatedAs
Indicates that an entity functioned or was used in the capacity, role, or identity of another entity for some period of time.
-
D.
venueTypeOperated
Indicates that an entity operates or manages a venue of a specified type.
-
E.
operatesBy
Indicates that an entity performs its function, action, or process through the use or application of another entity (e.g., a method, mechanism, or principle).
- 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_69e2ff3071548190b62d1ac237397197 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f464bc496081909bad8c973386eea4 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:25 a.m.