Triple
T2046367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Hoyle Offshore Wind Farm |
E45460
|
entity |
| Predicate | hasEnvironmentalImpactAssessment |
P36033
|
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: [North Hoyle Offshore Wind Farm, hasEnvironmentalImpactAssessment, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnvironmentalImpactAssessment Context triple: [North Hoyle Offshore Wind Farm, hasEnvironmentalImpactAssessment, yes]
-
A.
hasEnvironmentalImpactOn
Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
-
B.
hasEnvironmentalRegulationCompliance
Indicates that an entity adheres to or fulfills applicable environmental regulations, standards, or compliance requirements.
-
C.
hasEnvironmentalCertification
Indicates that an entity possesses a recognized environmental certification or accreditation attesting to its compliance with specified environmental standards or practices.
-
D.
environmentalOutcome
Indicates the resulting impact or consequence that an action, event, or condition has on the environment.
-
E.
hasEthicalAssessment
Indicates that an entity has been evaluated according to ethical criteria or standards.
- F. None of above. chosen
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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abbc2b07d48190ba9d67353167b472 |
completed | March 7, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:39 p.m.