Triple
T21275559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smøla |
E524377
|
entity |
| Predicate | windFarmType |
P143470
|
FINISHED |
| Object | onshore wind farm |
—
|
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: onshore wind farm | Statement: [Smøla, windFarmType, onshore wind farm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: windFarmType Context triple: [Smøla, windFarmType, onshore wind farm]
-
A.
windFarmCapacity
Indicates the total power generation capacity of a wind farm, typically measured in units such as megawatts.
-
B.
hasWindFarm
Indicates that one entity possesses, hosts, or contains a wind farm as part of its assets, infrastructure, or territory.
-
C.
windResource
Indicates the availability, quality, or characteristics of wind at a location as a usable energy resource.
-
D.
windmillType
Indicates that one entity is classified as a specific type or category of windmill in relation to another entity.
-
E.
typicalTurbineType
Indicates the turbine type that is most commonly or characteristically used or found in association with a given entity or context.
- F. None of above. chosen
Provenance (4 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736577fd48190a0038a6ac5678668 |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
| PDg | Predicate description generation | batch_69e5f9943ed881909ef49045c5bcf6df |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 4:02 p.m.