Triple

T34770468
Position Surface form Disambiguated ID Type / Status
Subject Atlantic Niño variability E1002347 entity
Predicate hasUncertaintyIn P9778 FINISHED
Object future changes under global warming 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: future changes under global warming | Statement: [Atlantic Niño variability, hasUncertaintyIn, future changes under global warming]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUncertaintyIn
Context triple: [Atlantic Niño variability, hasUncertaintyIn, future changes under global warming]
  • A. hasUncertainty chosen
    Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
  • B. hasUncertaintyReason
    Indicates that there is a specific reason or explanation for why something is uncertain or not known with confidence.
  • C. hasCertainty
    Indicates that a statement, belief, or relationship is associated with a specific level or degree of confidence or surety.
  • D. hasUncertainForm
    Indicates that the form or structure of something is not clearly defined, fixed, or confidently known.
  • E. hasUncertainParameters
    Indicates that the relationship or action involves parameters whose values, conditions, or characteristics are not fully known, fixed, or reliably determined.
  • 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_69f76db20dac8190b1e8d0ca4dc1d59f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fd231cab588190ad0953dc8f4af8f2 completed May 7, 2026, 11:41 p.m.
PD Predicate disambiguation batch_69fd1aa3f1c481909fe6e9cab1383551 completed May 7, 2026, 11:05 p.m.
Created at: May 3, 2026, 3:59 p.m.