Triple
T6885231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jebba Dam |
E158900
|
entity |
| Predicate | renewableEnergySource |
P5332
|
FINISHED |
| Object | hydroelectricity |
—
|
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: hydroelectricity | Statement: [Jebba Dam, renewableEnergySource, hydroelectricity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renewableEnergySource Context triple: [Jebba Dam, renewableEnergySource, hydroelectricity]
-
A.
renewableEnergyDevelopment
Indicates the initiation, expansion, or enhancement of projects or activities that produce energy from renewable, naturally replenishing sources.
-
B.
hasRenewableEnergy
Indicates that an entity possesses or utilizes energy derived from renewable sources.
-
C.
hasRenewableEnergyPotential
Indicates that an entity possesses conditions or characteristics that make it suitable for generating energy from renewable sources.
-
D.
renewableEnergyShare
Indicates the proportion of total energy consumption or production that comes from renewable energy sources.
-
E.
energyType
chosen
Indicates the kind or category of energy associated with an entity or process.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90bc32c8190baf5bf785146f3e8 |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:23 p.m.