Triple

T30208462
Position Surface form Disambiguated ID Type / Status
Subject Luke, Maryland E768001 entity
Predicate hasEnvironmentalIssueHistorically P91454 FINISHED
Object industrial pollution from paper mill 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 from paper mill | Statement: [Luke, Maryland, hasEnvironmentalIssueHistorically, industrial pollution from paper mill]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEnvironmentalIssueHistorically
Context triple: [Luke, Maryland, hasEnvironmentalIssueHistorically, industrial pollution from paper mill]
  • A. hasEnvironmentalHistory chosen
    Indicates that an entity is associated with a record or account of its past environmental conditions, impacts, or interactions.
  • B. hasEnvironmentalImpactOn
    Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
  • C. hasEnvironmentalActivity
    Indicates that an entity engages in, supports, or is associated with actions or initiatives related to environmental protection, conservation, or sustainability.
  • D. hasEnvironmentalImpactType
    Indicates that something affects the environment in a specific way categorized by a particular type of impact.
  • E. hasEnvironmentalRisk
    Indicates that an entity poses, contributes to, or is associated with potential harm or adverse impact on the environment.
  • 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_69f2247eb0848190b4032f302d39c0d9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f78fd5a6388190bfda4bbb2e222e5b completed May 3, 2026, 6:11 p.m.
PD Predicate disambiguation batch_69f78e2ac3fc819081a45c6841375c8d completed May 3, 2026, 6:04 p.m.
Created at: April 29, 2026, 7:32 p.m.