Triple
T25099963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PT Pembangkitan Jawa-Bali |
E628694
|
entity |
| Predicate | energySourceUsed |
P5332
|
FINISHED |
| Object | water (hydropower) |
—
|
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: water (hydropower) | Statement: [PT Pembangkitan Jawa-Bali, energySourceUsed, water (hydropower)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energySourceUsed Context triple: [PT Pembangkitan Jawa-Bali, energySourceUsed, water (hydropower)]
-
A.
energyType
chosen
Indicates the kind or category of energy associated with an entity or process.
-
B.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
-
C.
energyName
Indicates that a specific name or label is assigned to an energy-related quantity, type, or resource.
-
D.
isMajorSourceOfElectricityFor
Indicates that one entity provides the primary or dominant share of electrical power used by another entity.
-
E.
usesEnergyFrom
Indicates that one entity derives or consumes energy originating from another entity as its source.
- 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_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:25 a.m.