Triple
T10833596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario Power Generation |
E255688
|
entity |
| Predicate | generatesFromEnergySource |
P89594
|
FINISHED |
| Object | nuclear power |
—
|
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: nuclear power | Statement: [Ontario Power Generation, generatesFromEnergySource, nuclear power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generatesFromEnergySource Context triple: [Ontario Power Generation, generatesFromEnergySource, nuclear power]
-
A.
usesEnergyFrom
Indicates that one entity derives or consumes energy originating from another entity as its source.
-
B.
energyGenerationMechanism
Indicates the method or process by which energy is produced or generated by an entity.
-
C.
hasEnergyResource
chosen
Indicates that an entity possesses, controls, or is associated with a source of usable energy.
-
D.
emitsMoreEnergyThanItReceives
Indicates that the subject releases a greater amount of energy than it takes in from its surroundings or inputs.
-
E.
usesEnergyConversion
Indicates that an entity performs or involves a process where one form of energy is transformed into another to achieve a function or outcome.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7442439dc8190af59f9c8d0637c01 |
completed | April 9, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.