Triple
T1975449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walney Wind Farm |
E42899
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Ørsted |
E222419
|
NE 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: Ørsted | Statement: [Walney Wind Farm, developer, Ørsted]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ørsted Context triple: [Walney Wind Farm, developer, Ørsted]
-
A.
Ørsted
chosen
Ørsted is a Danish renewable energy company and one of the world’s leading developers and operators of offshore wind farms.
-
B.
EDF Renewables
EDF Renewables is a global renewable energy company specializing in the development, construction, and operation of wind, solar, and energy storage projects.
-
C.
Engie
Engie is a major French multinational utility company specializing in electricity, natural gas, and energy services, with a strong focus on renewable and low-carbon energy solutions.
-
D.
Areva
Areva was a French multinational group specializing in nuclear power and renewable energy technologies, known for its involvement in the entire nuclear fuel cycle.
-
E.
GE Vernova
GE Vernova is General Electric’s energy-focused business, encompassing power generation, grid, and renewable energy technologies and services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0acfce948190bb714023b6dab9ed |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:36 p.m.