Triple

T38538928
Position Surface form Disambiguated ID Type / Status
Subject Остров Возрождения E924774 entity
Predicate экологическиеПоследствия P33269 FINISHED
Object загрязнение почвы спорами сибирской язвы 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: загрязнение почвы спорами сибирской язвы | Statement: [Остров Возрождения, экологическиеПоследствия, загрязнение почвы спорами сибирской язвы]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: экологическиеПоследствия
Context triple: [Остров Возрождения, экологическиеПоследствия, загрязнение почвы спорами сибирской язвы]
  • A. environmentalOutcome chosen
    Indicates the resulting impact or consequence that an action, event, or condition has on the environment.
  • B. hasEnvironmentalImpactOn
    Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
  • C. hasEnvironmentalImpactType
    Indicates that something affects the environment in a specific way categorized by a particular type of impact.
  • D. humanImpact
    Indicates the effect or influence that human activities have on another entity, system, or environment.
  • E. shareEnvironmentalIssues
    Indicates that two or more entities are affected by, involved in, or concerned with the same environmental problems or challenges.
  • 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_69f76eadeac081909cdfdd0474cb6765 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd2e930608190b2b2af0d4753d7f0 completed May 7, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 completed May 7, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:32 p.m.