Triple

T6996867
Position Surface form Disambiguated ID Type / Status
Subject Culiacán E162236 entity
Predicate climateClassification P193 FINISHED
Object Köppen Aw E97834 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 Aw | Statement: [Culiacán, climateClassification, Köppen Aw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Köppen Aw
Context triple: [Culiacán, climateClassification, Köppen Aw]
  • A. Köppen Aw chosen
    Köppen Aw is a tropical savanna climate type characterized by consistently warm temperatures and a pronounced dry season.
  • B. Köppen Cwa
    Köppen Cwa is a humid subtropical climate type characterized by hot, wet summers and mild, dry winters, typically influenced by monsoonal patterns.
  • 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 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.
  • E. Köppen Am
    Köppen Am is a tropical monsoon climate type characterized by consistently high temperatures and a pronounced wet season with heavy rainfall.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbedafa48190af0d2b47e3a1e17e completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a2465908190b69454f6215365b0 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:32 p.m.