Triple

T283631
Position Surface form Disambiguated ID Type / Status
Subject Intergovernmental Panel on Climate Change E5840 entity
Predicate workingGroupIIFocus P31 FINISHED
Object impacts, adaptation and vulnerability 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: impacts, adaptation and vulnerability | Statement: [Intergovernmental Panel on Climate Change, workingGroupIIFocus, impacts, adaptation and vulnerability]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: workingGroupIIFocus
Context triple: [Intergovernmental Panel on Climate Change, workingGroupIIFocus, impacts, adaptation and vulnerability]
  • A. fieldOfWork
    Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
  • B. focusesOn chosen
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • C. subjectOfWork
    Indicates that one entity is the main topic, focus, or theme that a particular work (such as a book, article, or artwork) is about.
  • D. worksOnIssue
    Indicates that an entity (typically a person or team) is actively engaged in addressing, resolving, or contributing work toward a specific issue.
  • E. academicFocus
    Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e0d789881908d6a9a8d6a0d4a6c completed Feb. 28, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69a25b795a6c8190944d48e8418e0ccd completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.