Triple

T17857285
Position Surface form Disambiguated ID Type / Status
Subject Khanewal E445973 entity
Predicate climateClassification P193 FINISHED
Object BWh (Köppen) NE NERFINISHED

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: BWh (Köppen) | Statement: [Khanewal, climateClassification, BWh (Köppen)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BWh (Köppen)
Context triple: [Khanewal, climateClassification, BWh (Köppen)]
  • A. Köppen BWh chosen
    Köppen BWh is the hot desert climate subtype characterized by extremely low annual precipitation, very high temperatures, and abundant sunshine, typical of the world’s driest desert regions.
  • B. Köppen BSk
    Köppen BSk is a cold semi-arid climate type characterized by low annual precipitation, large temperature variations between seasons, and generally dry conditions.
  • C. Köppen BWk
    Köppen BWk is a cold semi-arid (steppe) climate type characterized by low precipitation, hot summers, and cold winters, typically found in continental interior regions.
  • D. Köppen Dwa
    Köppen Dwa is a humid continental climate subtype characterized by hot, wet summers and cold, dry winters with a pronounced monsoonal influence.
  • E. Köppen Aw
    Köppen Aw is a tropical savanna climate type characterized by consistently warm temperatures and a pronounced dry season.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978d05708190838386d37eb157bc completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.