Triple
T1345800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dogger Bank |
E28567
|
entity |
| Predicate | DoggerBankWindFarmType |
P21222
|
FINISHED |
| Object | offshore wind farm complex |
—
|
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: offshore wind farm complex | Statement: [Dogger Bank, DoggerBankWindFarmType, offshore wind farm complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DoggerBankWindFarmType Context triple: [Dogger Bank, DoggerBankWindFarmType, offshore wind farm complex]
-
A.
hasOffshoreWindFarm
Indicates that an entity owns, operates, or is otherwise associated with a wind farm located in offshore (marine) areas.
-
B.
turbineType
Indicates the specific kind or category of turbine associated with or used by an entity.
-
C.
windmillType
Indicates that one entity is classified as a specific type or category of windmill in relation to another entity.
-
D.
powerplantType
chosen
Indicates the specific kind or category of power plant associated with an entity, based on how it generates energy.
-
E.
numberOfTurbines
Indicates the quantity of turbines associated with a given entity or installation.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c23e84188190b0395c57dd45b62a |
completed | March 1, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69a4bef5857c81909ae984feb85a26ca |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.