Triple

T26382032
Position Surface form Disambiguated ID Type / Status
Subject Saibai Island E663153 entity
Predicate climateChangeIssue P1006 FINISHED
Object subject of climate adaptation planning 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: subject of climate adaptation planning | Statement: [Saibai Island, climateChangeIssue, subject of climate adaptation planning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: climateChangeIssue
Context triple: [Saibai Island, climateChangeIssue, subject of climate adaptation planning]
  • A. climate
    Indicates a relationship where environmental or atmospheric conditions influence, shape, or characterize something (such as a place, system, or process).
  • B. 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.
  • C. climateConsiderations
    Indicates that the action or decision takes into account environmental and climate-related factors, such as emissions, resilience, or climate impact.
  • D. climateChangeEffect
    Indicates how climate change influences or alters a particular entity, condition, or process.
  • E. 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.
  • 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_69ee88374adc81909868f3bab374a32f completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f61076a94481909251f4042116768a completed May 2, 2026, 2:55 p.m.
PD Predicate disambiguation batch_69f602d2ec748190ae95154f34c7878f completed May 2, 2026, 1:57 p.m.
Created at: April 26, 2026, 11:19 p.m.