Triple
T2012986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwynt y Môr Wind Farm |
E43730
|
entity |
| Predicate | turbineManufacturer |
P4022
|
FINISHED |
| Object | Siemens |
E49800
|
NE FINISHED |
How this triple was built (3 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: Siemens | Statement: [Gwynt y Môr Wind Farm, turbineManufacturer, Siemens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siemens Context triple: [Gwynt y Môr Wind Farm, turbineManufacturer, Siemens]
-
A.
Siemens
chosen
Siemens is a major German multinational conglomerate best known for its leading roles in industrial manufacturing, energy, healthcare technology, and infrastructure solutions worldwide.
-
B.
S7 Group
S7 Group is a Russian aviation holding company best known for owning and operating S7 Airlines and related air transport businesses.
-
C.
Bosch
Bosch is a multinational engineering and technology company best known for its automotive components, industrial products, and household appliances.
-
D.
Schneider Electric
Schneider Electric is a French multinational company specializing in energy management and industrial automation solutions for homes, buildings, data centers, infrastructure, and industry.
-
E.
General Electric
General Electric is a major American multinational conglomerate historically known for its leadership in industrial manufacturing, aviation, power, and healthcare technologies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turbineManufacturer Context triple: [Gwynt y Môr Wind Farm, turbineManufacturer, Siemens]
-
A.
turbineType
Indicates the specific kind or category of turbine associated with or used by an entity.
-
B.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
C.
manufacturedBy
chosen
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
D.
turbineCapacity
Indicates the power-generating capacity or rated output of a turbine.
-
E.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
- F. None of above.
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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b2ed6c8190ad51f0af90db2a02 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0aea65d881908eb751349a2c23f9 |
completed | March 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.