Triple
T17161189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arapuni Power Station |
E416481
|
entity |
| Predicate | hasAnnualGeneration_GWh |
P81201
|
FINISHED |
| Object | around 800 |
—
|
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: around 800 | Statement: [Arapuni Power Station, hasAnnualGeneration_GWh, around 800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnnualGeneration_GWh Context triple: [Arapuni Power Station, hasAnnualGeneration_GWh, around 800]
-
A.
averageAnnualGeneration
Indicates the typical amount of something produced or generated per year, averaged over a specified multi-year period.
-
B.
recordAnnualGenerationYear
Indicates the year in which an entity’s annual generation (e.g., production or output) is recorded.
-
C.
expectedAnnualGeneration
chosen
Indicates the amount of output (typically energy or production) that a system or asset is expected to generate over the course of a year.
-
D.
electricPowerOutput
Indicates the amount of electrical power produced or delivered by an entity.
-
E.
grossElectricalCapacity_MWe
Indicates the total electrical power output capacity of a generating unit, measured in megawatts electric (MWe), before accounting for internal power consumption or losses.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91258648190a40396067ba5ecd3 |
completed | April 18, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.