Triple
T33713513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian energy market |
E863806
|
entity |
| Predicate | hasOffshoreWindPlans |
P184414
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Norwegian energy market, hasOffshoreWindPlans, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOffshoreWindPlans Context triple: [Norwegian energy market, hasOffshoreWindPlans, true]
-
A.
hasOffshoreWindFarm
Indicates that an entity owns, operates, or is otherwise associated with a wind farm located in offshore (marine) areas.
-
B.
hasWindFarm
Indicates that one entity possesses, hosts, or contains a wind farm as part of its assets, infrastructure, or territory.
-
C.
hasRenewableEnergyPotential
Indicates that an entity possesses conditions or characteristics that make it suitable for generating energy from renewable sources.
-
D.
succeededByAsLargestOffshoreWindFarm
Indicates that one offshore wind farm has been surpassed by another in terms of being the largest.
-
E.
windEnergyDevelopment
Indicates the development, construction, or expansion of facilities and infrastructure for generating energy from wind.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: May 1, 2026, 1:43 a.m.