Triple
T33713473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian energy market |
E863806
|
entity |
| Predicate | stateInvolvementLevel |
P196513
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Norwegian energy market, stateInvolvementLevel, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateInvolvementLevel Context triple: [Norwegian energy market, stateInvolvementLevel, high]
-
A.
stateLevelStrength
Indicates the degree of power, capacity, or effectiveness that a state-level entity possesses in performing its functions or exerting influence.
-
B.
stateLevelRepresentation
Indicates that an entity serves as a representative or representation at the level of a state (subnational government jurisdiction).
-
C.
stateLevelImportance
Indicates that something has significance, priority, or relevance specifically at the level of a state (as opposed to local, regional, or national levels).
-
D.
participatingLevel
Indicates the degree or extent to which an entity is involved or engaged in a particular activity, event, or process.
-
E.
typeOfInvolvement
Indicates the specific role, capacity, or manner in which one entity is involved with or participates in another entity or activity.
- 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_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
| PDg | Predicate description generation | batch_69fe59d03a648190bbe846cb5730a477 |
completed | May 8, 2026, 9:46 p.m. |
Created at: May 1, 2026, 1:43 a.m.