Triple

T16340130
Position Surface form Disambiguated ID Type / Status
Subject Yokkaichi E396774 entity
Predicate environmentalIssueType P1006 FINISHED
Object air pollution 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: air pollution | Statement: [Yokkaichi, environmentalIssueType, air pollution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: environmentalIssueType
Context triple: [Yokkaichi, environmentalIssueType, air pollution]
  • A. environmentalIssue chosen
    Indicates that something is a problem or concern related to the natural environment, such as harm, risk, or negative impact on ecosystems or resources.
  • B. environmentalIssueAddressed
    Indicates that an action, policy, or entity is aimed at tackling, mitigating, or resolving a specific environmental problem or concern.
  • C. shareEnvironmentalIssues
    Indicates that two or more entities are affected by, involved in, or concerned with the same environmental problems or challenges.
  • D. environmentalFocus
    Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
  • E. environmentAuthority
    Indicates that an entity has official regulatory or supervisory power over environmental matters affecting another entity or area.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da09dcf48190b6fdd14b1812c56a completed April 18, 2026, 1:10 a.m.
PD Predicate disambiguation batch_69e226eba9b48190af6e80d3d1c2aed3 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:07 a.m.