Triple
T7918782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zarya |
E183891
|
entity |
| Predicate | powerGeneration |
P47194
|
FINISHED |
| Object | about 3 kilowatts initially |
—
|
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: about 3 kilowatts initially | Statement: [Zarya, powerGeneration, about 3 kilowatts initially]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerGeneration Context triple: [Zarya, powerGeneration, about 3 kilowatts initially]
-
A.
powerplantOutput
Indicates the amount of energy or power produced by a power plant over a given period or at a specific moment.
-
B.
includesPowerGeneration
Indicates that an entity encompasses or involves facilities, systems, or activities related to generating electrical or other forms of power.
-
C.
powerplant
Indicates that an entity functions as a facility or installation where energy sources are converted into usable power, typically electricity.
-
D.
powerplantPower
chosen
Indicates that a power plant provides or generates a specified amount of electrical power.
-
E.
thermalPower
Indicates the amount of heat energy per unit time that a system, device, or process generates, transfers, or consumes.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a8fbbb48190b50def4941761a31 |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae9316e98819080be7bf1a6ff92f1 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:05 p.m.