Triple
T28016217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unified Energy System of Russia |
E707550
|
entity |
| Predicate | includesEnergySource |
P89594
|
FINISHED |
| Object | thermal power plants |
—
|
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: thermal power plants | Statement: [Unified Energy System of Russia, includesEnergySource, thermal power plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesEnergySource Context triple: [Unified Energy System of Russia, includesEnergySource, thermal power plants]
-
A.
usesEnergyFrom
Indicates that one entity derives or consumes energy originating from another entity as its source.
-
B.
hasEnergyResource
chosen
Indicates that an entity possesses, controls, or is associated with a source of usable energy.
-
C.
hasEnergyInput
Indicates that an entity receives or requires a specified source or form of energy to operate or occur.
-
D.
usesEnergy
Indicates that one entity consumes or relies on some form of energy to function, operate, or perform an action.
-
E.
hasPowerSource
Indicates that an entity derives its operational energy or functionality from a specified power source.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
Created at: April 27, 2026, 8:07 p.m.