Triple
T2012988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwynt y Môr Wind Farm |
E43730
|
entity |
| Predicate | electricalCapacity |
P30472
|
FINISHED |
| Object | 576 MW |
—
|
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: 576 MW | Statement: [Gwynt y Môr Wind Farm, electricalCapacity, 576 MW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electricalCapacity Context triple: [Gwynt y Môr Wind Farm, electricalCapacity, 576 MW]
-
A.
batteryCapacity
Indicates the amount of electrical energy a battery can store or deliver, typically expressed in units like mAh or Wh.
-
B.
typeOfElectricity
Indicates that one entity specifies the particular kind or category of electricity associated with another entity.
-
C.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
D.
turbineCapacity
chosen
Indicates the power-generating capacity or rated output of a turbine.
-
E.
electrificationSystem
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b2ed6c8190ad51f0af90db2a02 |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.