Triple
T1975470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walney Wind Farm |
E42899
|
entity |
| Predicate | powerPlantType |
P21222
|
FINISHED |
| Object | renewable energy power station |
—
|
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: renewable energy power station | Statement: [Walney Wind Farm, powerPlantType, renewable energy power station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerPlantType Context triple: [Walney Wind Farm, powerPlantType, renewable energy power station]
-
A.
powerplantType
chosen
Indicates the specific kind or category of power plant associated with an entity, based on how it generates energy.
-
B.
powerplant
Indicates that an entity functions as a facility or installation where energy sources are converted into usable power, typically electricity.
-
C.
powerplantFor
Indicates that one entity functions as the power plant or primary energy source serving another entity.
-
D.
powerplantRole
Indicates that one entity serves in a specific functional or operational role relative to a power plant.
-
E.
energyType
Indicates the kind or category of energy associated with an entity or process.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f835108190b0709ccf3a487a96 |
completed | March 7, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69abaff9a09c8190a81fa13f4b85bc79 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.