Triple

T7446291
Position Surface form Disambiguated ID Type / Status
Subject Baotou E171888 entity
Predicate climateClassification P193 FINISHED
Object Köppen BSk E486079 NE 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: Köppen BSk | Statement: [Baotou, climateClassification, Köppen BSk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Köppen BSk
Context triple: [Baotou, climateClassification, Köppen BSk]
  • A. Köppen BSk chosen
    Köppen BSk is a cold semi-arid climate type characterized by low annual precipitation, large temperature variations between seasons, and generally dry conditions.
  • B. 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.
  • C. Köppen BWh
    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.
  • D. Köppen Cwa
    Köppen Cwa is a humid subtropical climate type characterized by hot, wet summers and mild, dry winters, typically influenced by monsoonal patterns.
  • E. Köppen Dwa
    Köppen Dwa is a humid continental climate subtype characterized by hot, wet summers and cold, dry winters with a pronounced monsoonal influence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f371be2081908feaeb9392cb65fe completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827a6668c8190a88c6406684e7689 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:14 p.m.