Triple
T2025475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robin Rigg Offshore Wind Farm |
E44396
|
entity |
| Predicate | numberOfWindTurbines |
P11310
|
FINISHED |
| Object | 60 |
—
|
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: 60 | Statement: [Robin Rigg Offshore Wind Farm, numberOfWindTurbines, 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWindTurbines Context triple: [Robin Rigg Offshore Wind Farm, numberOfWindTurbines, 60]
-
A.
numberOfTurbines
chosen
Indicates the quantity of turbines associated with a given entity or installation.
-
B.
hasTurbines
Indicates that one entity is equipped with, contains, or includes one or more turbines in relation to another entity.
-
C.
hasWindFarm
Indicates that one entity possesses, hosts, or contains a wind farm as part of its assets, infrastructure, or territory.
-
D.
windFarmCapacity
Indicates the total power generation capacity of a wind farm, typically measured in units such as megawatts.
-
E.
windResource
Indicates the availability, quality, or characteristics of wind at a location as a usable energy resource.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8f3faa08190a48ae1355d6e009f |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb7a656248190ac2ced196b35bc6b |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.