Triple
T20990803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venstre (Norway) |
E517017
|
entity |
| Predicate | stanceOnEnvironment |
P123708
|
FINISHED |
| Object | green-liberal |
—
|
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: green-liberal | Statement: [Venstre (Norway), stanceOnEnvironment, green-liberal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceOnEnvironment Context triple: [Venstre (Norway), stanceOnEnvironment, green-liberal]
-
A.
hasEnvironmentalImpactOn
Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
-
B.
environmentRole
Indicates the functional role or influence that one entity has within or upon a particular environment or environmental context.
-
C.
environmentalFactor
Indicates that one entity functions as an environmental influence or condition that affects another entity or process.
-
D.
hasEnvironmentalImpactType
Indicates that something affects the environment in a specific way categorized by a particular type of impact.
-
E.
environmentalAttitude
chosen
Indicates a stance, opinion, or orientation an entity holds toward environmental protection, conservation, or ecological issues.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fc1ba3d0819080d9d03817a45026 |
completed | April 21, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:50 p.m.