Triple
T33713518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian energy market |
E863806
|
entity |
| Predicate | hasRegulatedNetworkTariffs |
P125783
|
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, hasRegulatedNetworkTariffs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegulatedNetworkTariffs Context triple: [Norwegian energy market, hasRegulatedNetworkTariffs, true]
-
A.
regulatesTariffs
Indicates that one entity has authority to control, set, or adjust the tariffs imposed on another entity or on certain transactions.
-
B.
telecomRegime
Indicates a regulatory or governance framework that defines how telecommunications services are organized, controlled, and operated within a given context.
-
C.
hasRegulatoryMarket
chosen
Indicates that an entity is subject to, or operates within, a specific regulatory framework or market oversight regime.
-
D.
effectOnAverageTariff
Indicates the impact that one factor, event, or action has on the level or change of an average tariff.
-
E.
hasRegulations
Indicates that one entity imposes, contains, or is associated with rules or regulatory requirements that govern the behavior or operation of another entity.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:43 a.m.