Triple

T22995462
Position Surface form Disambiguated ID Type / Status
Subject Pina neighborhood E572175 entity
Predicate climateClassification P193 FINISHED
Object Köppen Af 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: Köppen Af | Statement: [Pina neighborhood, climateClassification, Köppen Af]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Köppen Af
Context triple: [Pina neighborhood, climateClassification, Köppen Af]
  • A. Af (Köppen) chosen
    Af (Köppen) is the tropical rainforest climate classification characterized by consistently high temperatures and abundant year-round rainfall with no dry season.
  • B. Köppen
    Köppen is a German surname most widely associated with climatologist Wladimir Köppen, after whom the influential Köppen climate classification system is named.
  • C. Köppen Am
    Köppen Am is a tropical monsoon climate type characterized by consistently high temperatures and a pronounced wet season with heavy rainfall.
  • D. Köppen Aw
    Köppen Aw is a tropical savanna climate type characterized by consistently warm temperatures and a pronounced dry season.
  • 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 (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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f25af48190a98b7baeec824ae6 completed April 29, 2026, 4:02 a.m.
Created at: April 17, 2026, 3:50 p.m.