Triple

T1126520
Position Surface form Disambiguated ID Type / Status
Subject Maipo River E24731 entity
Predicate hasEnvironmentalIssues P1006 FINISHED
Object water 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: water pollution | Statement: [Maipo River, hasEnvironmentalIssues, water pollution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEnvironmentalIssues
Context triple: [Maipo River, hasEnvironmentalIssues, water 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. hasEnvironmentalImpactOn
    Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
  • C. environmentalFocus
    Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
  • D. conservationIssue
    Indicates that an entity is associated with a problem, threat, or concern related to the protection, preservation, or sustainable management of natural resources or biodiversity.
  • E. humanImpact
    Indicates the effect or influence that human activities have on another entity, system, or 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bc4bc21881909dcfe628f59f3e8c completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb4749ac8190b0fbddac2e9b2586 completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:44 p.m.