Triple

T14203235
Position Surface form Disambiguated ID Type / Status
Subject Gusau E352016 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: [Gusau, climateClassification, Köppen Aw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Köppen Aw
Context triple: [Gusau, 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 Dwa
    Köppen Dwa is a humid continental climate subtype characterized by hot, wet summers and cold, dry winters with a pronounced monsoonal influence.
  • D. 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.
  • E. 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.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f589a08190b71ad4e69d92ffd0 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1951421c81908959634e66857b61 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.