Triple

T17610960
Position Surface form Disambiguated ID Type / Status
Subject Canadian territories E428962 entity
Predicate haveSignificantPolicyIssue P25878 FINISHED
Object climate change impacts 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: climate change impacts | Statement: [Canadian territories, haveSignificantPolicyIssue, climate change impacts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveSignificantPolicyIssue
Context triple: [Canadian territories, haveSignificantPolicyIssue, climate change impacts]
  • A. politicalIssueIn
    Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
  • B. politicalIssueFor chosen
    Indicates a relationship where a particular topic, problem, or policy area is considered a matter of political concern or debate for a given entity.
  • C. hasNotablePolicy
    Indicates that an entity possesses a policy that is distinguished, significant, or otherwise noteworthy in its context.
  • D. hasPoliticalSignificanceFor
    Indicates that something holds importance, influence, or consequence within the political context or interests of a particular entity.
  • E. hasLegislativeSubject
    Indicates that a legislative document, action, or body concerns, addresses, or is about a particular subject or topic.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d2d294881908380b2ab0b4d2503 completed April 19, 2026, 5:50 a.m.
PD Predicate disambiguation batch_69e3cdd7da34819099bc9481c5a79bab completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 5:51 a.m.