Triple

T33713493
Position Surface form Disambiguated ID Type / Status
Subject Norwegian energy market E863806 entity
Predicate supportsCO2Reduction P99026 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, supportsCO2Reduction, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsCO2Reduction
Context triple: [Norwegian energy market, supportsCO2Reduction, true]
  • A. usedCarbonOffsetting
    Indicates that an entity has employed carbon offsetting measures to compensate for its greenhouse gas emissions.
  • B. climateProtection
    Indicates actions, policies, or measures aimed at preventing, reducing, or mitigating harmful impacts on the climate and stabilizing the Earth’s climate system.
  • C. environmentalCommitment
    Indicates a relationship where an entity demonstrates dedication to protecting or improving the environment through its policies, actions, or practices.
  • D. environmentalImpactGoal chosen
    Indicates a goal or target set to influence, reduce, or manage the environmental impact associated with an entity or activity.
  • E. benefitForEarth
    Indicates that an action, object, or condition provides a positive impact or advantage specifically for the Earth or its environment.
  • 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.