Triple

T21230448
Position Surface form Disambiguated ID Type / Status
Subject Menomonee Valley E523197 entity
Predicate environmentalIssueHistory P91454 FINISHED
Object industrial 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: industrial pollution | Statement: [Menomonee Valley, environmentalIssueHistory, industrial pollution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: environmentalIssueHistory
Context triple: [Menomonee Valley, environmentalIssueHistory, industrial pollution]
  • A. hasEnvironmentalHistory chosen
    Indicates that an entity is associated with a record or account of its past environmental conditions, impacts, or interactions.
  • B. 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.
  • C. environmentalIssueAddressed
    Indicates that an action, policy, or entity is aimed at tackling, mitigating, or resolving a specific environmental problem or concern.
  • D. shareEnvironmentalIssues
    Indicates that two or more entities are affected by, involved in, or concerned with the same environmental problems or challenges.
  • E. environmentalEvent
    Indicates an occurrence or phenomenon related to the natural environment, such as climatic, ecological, or geophysical changes or incidents.
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734af3d508190b3359d14496370b6 completed April 21, 2026, 8:26 a.m.
PD Predicate disambiguation batch_69e5f60e1a888190ba75e2e900270a4e completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 3:45 p.m.