Triple

T4136938
Position Surface form Disambiguated ID Type / Status
Subject Chernobyl disaster E85175 entity
Predicate impactOnEnergyPolicy P44194 FINISHED
Object slowed nuclear power expansion in Europe 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: slowed nuclear power expansion in Europe | Statement: [Chernobyl disaster, impactOnEnergyPolicy, slowed nuclear power expansion in Europe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: impactOnEnergyPolicy
Context triple: [Chernobyl disaster, impactOnEnergyPolicy, slowed nuclear power expansion in Europe]
  • A. impactOnIran
    Indicates the effect or consequences that an action, event, or policy has on Iran.
  • B. influencedPolicyArea
    Indicates that one entity has affected, shaped, or guided the development, direction, or implementation of a particular policy area associated with another entity.
  • C. impactOnIndustry chosen
    Indicates the effect or influence that one entity, event, or action has on the state, performance, or development of an industry.
  • D. energyRegime
    Indicates the specific range or mode of energy conditions under which a process, interaction, or system operates or is characterized.
  • E. nationalImpact
    Indicates that something has a significant effect or influence at the level of an entire nation.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af03a0f3408190adba7a8513bd3d12 completed March 9, 2026, 5:30 p.m.
PD Predicate disambiguation batch_69af018a54848190987f18c066c75068 completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:43 p.m.