Triple
T20270844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivaylovgrad Dam |
E499086
|
entity |
| Predicate | annualGenerationUnit |
P107138
|
FINISHED |
| Object | gigawatt-hour |
—
|
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: gigawatt-hour | Statement: [Ivaylovgrad Dam, annualGenerationUnit, gigawatt-hour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annualGenerationUnit Context triple: [Ivaylovgrad Dam, annualGenerationUnit, gigawatt-hour]
-
A.
generationUnits
Indicates a relationship where specific units or components are responsible for generating or producing something within a system or process.
-
B.
generatingUnitCount
Indicates the number of generating units associated with or involved in a given entity or context.
-
C.
averageAnnualGeneration
chosen
Indicates the typical amount of something produced or generated per year, averaged over a specified multi-year period.
-
D.
powerplantOutput
Indicates the amount of energy or power produced by a power plant over a given period or at a specific moment.
-
E.
electricPowerOutput
Indicates the amount of electrical power produced or delivered by an entity.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dd7c58819095bbf4baeda04d6a |
completed | April 20, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:42 p.m.