Triple
T2012997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwynt y Môr Wind Farm |
E43730
|
entity |
| Predicate | hasOffshoreSubstation |
P15518
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Gwynt y Môr Wind Farm, hasOffshoreSubstation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOffshoreSubstation Context triple: [Gwynt y Môr Wind Farm, hasOffshoreSubstation, yes]
-
A.
hasOffshoreWindFarm
Indicates that an entity owns, operates, or is otherwise associated with a wind farm located in offshore (marine) areas.
-
B.
offshoreFeature
chosen
Indicates that a geographic or structural feature is located in a marine or aquatic area away from the shoreline.
-
C.
hasMajorOffshoreOilField
Indicates that a country or region possesses at least one large, economically significant oil field located offshore in its territorial waters or exclusive economic zone.
-
D.
hasShoreOn
Indicates that one geographic entity borders or is directly adjacent to the shore of another body of water.
-
E.
hasSubseaTunnel
Indicates that one location or structure is connected to another by an underwater tunnel.
- 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.