Triple
T23335107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kozani plateau |
E591556
|
entity |
| Predicate | renewableEnergyPotential |
P72077
|
FINISHED |
| Object | wind energy |
—
|
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: wind energy | Statement: [Kozani plateau, renewableEnergyPotential, wind energy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renewableEnergyPotential Context triple: [Kozani plateau, renewableEnergyPotential, wind energy]
-
A.
hasRenewableEnergyPotential
chosen
Indicates that an entity possesses conditions or characteristics that make it suitable for generating energy from renewable sources.
-
B.
hydropowerPotential
Indicates the amount of energy that could be generated from water resources at a given site or region under specified conditions.
-
C.
hasGeothermalPotential
Indicates that an entity possesses conditions suitable for generating or exploiting geothermal energy.
-
D.
renewableEnergyDevelopment
Indicates the initiation, expansion, or enhancement of projects or activities that produce energy from renewable, naturally replenishing sources.
-
E.
renewableEnergyShare
Indicates the proportion of total energy consumption or production that comes from renewable energy sources.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197f08fe481908766e674164d6d45 |
completed | April 29, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:16 p.m.