Triple

T600331
Position Surface form Disambiguated ID Type / Status
Subject Canada Basin E11477 entity
Predicate hasEnvironmentalConcern P1006 FINISHED
Object ocean acidification 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: ocean acidification | Statement: [Canada Basin, hasEnvironmentalConcern, ocean acidification]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEnvironmentalConcern
Context triple: [Canada Basin, hasEnvironmentalConcern, ocean acidification]
  • A. hasEnvironmentalImpactOn
    Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
  • B. 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.
  • 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. socialConcern
    Indicates a relationship where an entity is concerned about, attentive to, or actively engaged with social issues, problems, or well-being.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49dc4f7d08190990f70b9b3af6ce5 completed March 1, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69a49cf59cd0819084e67981cb371e25 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.