Triple

T26323812
Position Surface form Disambiguated ID Type / Status
Subject Köppen Dwa E662189 entity
Predicate hasAirMassInfluence P26038 FINISHED
Object winter continental polar or Siberian air masses 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: winter continental polar or Siberian air masses | Statement: [Köppen Dwa, hasAirMassInfluence, winter continental polar or Siberian air masses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAirMassInfluence
Context triple: [Köppen Dwa, hasAirMassInfluence, winter continental polar or Siberian air masses]
  • A. hasAtmosphericFeature chosen
    Indicates that one entity possesses or exhibits a particular feature or characteristic of its atmosphere.
  • B. hasAtmosphere
    Indicates that an astronomical body possesses a surrounding layer of gases held by its gravity.
  • C. hasGeneralAtmosphere
    Indicates that one entity is characterized by or associated with a particular overall mood, tone, or ambient quality provided by another entity.
  • D. hasDustExtinction
    Indicates that an entity exhibits or is subject to attenuation of light due to the presence of intervening dust.
  • E. capturesAtmosphereOf
    Indicates that one entity successfully conveys or reflects the overall mood, tone, or ambiance characteristic of another entity.
  • 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_69ee812e73048190aae587f1d51e5a06 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60f2e1fb48190aad56ac9683a267e completed May 2, 2026, 2:50 p.m.
PD Predicate disambiguation batch_69f602d2ec748190ae95154f34c7878f completed May 2, 2026, 1:57 p.m.
Created at: April 26, 2026, 10:29 p.m.