Triple

T561552
Position Surface form Disambiguated ID Type / Status
Subject Rhine E13461 entity
Predicate ecologicalIssue P1006 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: [Rhine, ecologicalIssue, industrial pollution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ecologicalIssue
Context triple: [Rhine, ecologicalIssue, industrial 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. 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.
  • C. environmentalFocus
    Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
  • D. environmentalSignificance
    Indicates the importance or impact that something has on the natural environment, such as its role in conservation, degradation, or ecological balance.
  • E. hasEnvironmentalImpactOn
    Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499e2795c8190903240e79964156d completed March 1, 2026, 7:56 p.m.
PD Predicate disambiguation batch_69a494befb8481908bb4e2e9f31e343b completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.