Triple
T11986434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwestern Power Administration |
E285290
|
entity |
| Predicate | sourceOfEnergy |
P61281
|
FINISHED |
| Object | federally owned hydroelectric dams |
—
|
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: federally owned hydroelectric dams | Statement: [Southwestern Power Administration, sourceOfEnergy, federally owned hydroelectric dams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceOfEnergy Context triple: [Southwestern Power Administration, sourceOfEnergy, federally owned hydroelectric dams]
-
A.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
B.
sourceOfPower
chosen
Indicates that one entity serves as the origin or provider of power, energy, or authority for another entity.
-
C.
usesEnergyFrom
Indicates that one entity derives or consumes energy originating from another entity as its source.
-
D.
energy
Indicates that an entity possesses, produces, consumes, or is associated with a quantifiable amount or type of energy.
-
E.
energyGenerationMechanism
Indicates the method or process by which energy is produced or generated 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.