Triple
T10133989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | REpower 5M |
E226807
|
entity |
| Predicate | energyIndustryUse |
P8461
|
FINISHED |
| Object | grid-scale renewable generation |
—
|
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: grid-scale renewable generation | Statement: [REpower 5M, energyIndustryUse, grid-scale renewable generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyIndustryUse Context triple: [REpower 5M, energyIndustryUse, grid-scale renewable generation]
-
A.
usedInIndustry
chosen
Indicates that something is employed or applied within a particular industry or industrial sector.
-
B.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
-
C.
economicUse
Indicates that one entity utilizes another for economic purposes, such as production, trade, revenue generation, or cost-saving activities.
-
D.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
E.
energy
Indicates that an entity possesses, produces, consumes, or is associated with a quantifiable amount or type of energy.
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33808048190b6023a6cd83fc179 |
completed | April 2, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:06 p.m.