Triple
T32212595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I-2K |
E822847
|
entity |
| Predicate | powerGenerationRange |
P112586
|
FINISHED |
| Object | about 3 kW to 4 kW |
—
|
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 kW to 4 kW | Statement: [I-2K, powerGenerationRange, about 3 kW to 4 kW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerGenerationRange Context triple: [I-2K, powerGenerationRange, about 3 kW to 4 kW]
-
A.
electricPowerOutput
chosen
Indicates the amount of electrical power produced or delivered by an entity.
-
B.
powerplantOutput
Indicates the amount of energy or power produced by a power plant over a given period or at a specific moment.
-
C.
powerplantPower
Indicates that a power plant provides or generates a specified amount of electrical power.
-
D.
generationUnits
Indicates a relationship where specific units or components are responsible for generating or producing something within a system or process.
-
E.
includesPowerGeneration
Indicates that an entity encompasses or involves facilities, systems, or activities related to generating electrical or other forms of power.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: May 1, 2026, 12:37 a.m.