Triple

T15998874
Position Surface form Disambiguated ID Type / Status
Subject Dnipropetrovsk, Ukrainian SSR, Soviet Union E388044 entity
Predicate industrialPollution P48801 FINISHED
Object significant environmental impact from heavy industry 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: significant environmental impact from heavy industry | Statement: [Dnipropetrovsk, Ukrainian SSR, Soviet Union, industrialPollution, significant environmental impact from heavy industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: industrialPollution
Context triple: [Dnipropetrovsk, Ukrainian SSR, Soviet Union, industrialPollution, significant environmental impact from heavy industry]
  • A. pollutant
    Indicates that one entity is a substance or factor that contaminates or degrades the quality of another entity or environment.
  • B. pollutionSource chosen
    Indicates that one entity is the origin or cause of pollution affecting another entity or environment.
  • C. targetPollutant
    Indicates that something is the specific pollutant that is being aimed at, affected, or addressed by an action, process, or regulation.
  • D. pollutantsCovered
    Indicates that certain pollutants are included within the scope, protection, regulation, or consideration defined by a particular entity, policy, or agreement.
  • E. environmentalIssue
    Indicates that something is a problem or concern related to the natural environment, such as harm, risk, or negative impact on ecosystems or resources.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e173b3bf6c81909230170e833d7ce7 completed April 16, 2026, 11:41 p.m.
PD Predicate disambiguation batch_69e142dc081c819082527e3fa8773460 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:55 a.m.