Triple

T5093835
Position Surface form Disambiguated ID Type / Status
Subject Husky E114818 entity
Predicate climateChallenge P14203 FINISHED
Object hot climates 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: hot climates | Statement: [Husky, climateChallenge, hot climates]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: climateChallenge
Context triple: [Husky, climateChallenge, hot climates]
  • A. climaticChallenge chosen
    Indicates a relationship where an entity faces, contributes to, or is affected by significant difficulties or stresses arising from climate or weather conditions.
  • B. climate
    Indicates a relationship where environmental or atmospheric conditions influence, shape, or characterize something (such as a place, system, or process).
  • C. climateConsiderations
    Indicates that the action or decision takes into account environmental and climate-related factors, such as emissions, resilience, or climate impact.
  • D. climateProtection
    Indicates actions, policies, or measures aimed at preventing, reducing, or mitigating harmful impacts on the climate and stabilizing the Earth’s climate system.
  • E. climateChangeIndicator
    Indicates that the subject serves as a sign, measure, or signal of the presence, extent, or impact of climate change on the related object or context.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75454920819086e09d6055087e40 completed March 20, 2026, 4:26 p.m.
PD Predicate disambiguation batch_69bd715c0a448190afc837c6c31dc6ab completed March 20, 2026, 4:10 p.m.
Created at: March 20, 2026, 1:40 p.m.