Triple
T4466804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itaipu Dam |
E98397
|
entity |
| Predicate | percentageOfElectricitySupplyForBrazil |
P56685
|
FINISHED |
| Object | around 15 |
—
|
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 15 | Statement: [Itaipu Dam, percentageOfElectricitySupplyForBrazil, around 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageOfElectricitySupplyForBrazil Context triple: [Itaipu Dam, percentageOfElectricitySupplyForBrazil, around 15]
-
A.
electrificationCoverage
Indicates the extent to which a given area, system, or population is supplied with access to electrical power.
-
B.
electricityMarketedBy
Indicates that one entity is responsible for marketing, promoting, or selling electricity provided by another entity.
-
C.
typeOfElectricity
Indicates that one entity specifies the particular kind or category of electricity associated with another entity.
-
D.
usesElectricFrequency
Indicates that one entity operates or functions by relying on a specified electric frequency provided by another entity or context.
-
E.
renewableEnergyShare
Indicates the proportion of total energy consumption or production that comes from renewable energy sources.
- F. None of above. chosen
Provenance (4 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
| PDg | Predicate description generation | batch_69b356f9afc48190acb50c45a310e072 |
completed | March 13, 2026, 12:14 a.m. |
Created at: March 12, 2026, 11:34 p.m.