Triple

T4343198
Position Surface form Disambiguated ID Type / Status
Subject Köppen Aw E97834 entity
Predicate hasAnnualPrecipitation P472 FINISHED
Object moderate to high annual rainfall with strong seasonal contrast LITERAL 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: moderate to high annual rainfall with strong seasonal contrast | Statement: [Köppen Aw, hasAnnualPrecipitation, moderate to high annual rainfall with strong seasonal contrast]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAnnualPrecipitation
Context triple: [Köppen Aw, hasAnnualPrecipitation, moderate to high annual rainfall with strong seasonal contrast]
  • A. averageAnnualPrecipitation chosen
    Indicates the typical total amount of precipitation an entity receives over the course of a year, averaged across multiple years.
  • B. averageAnnualSnowfall
    Indicates the typical amount of snow that falls in a given location over the course of a year, averaged across multiple years.
  • C. averageAnnualSunshineDays
    Indicates the typical number of days per year that a location experiences sunshine, averaged over a specified period.
  • D. rainfallPeak
    Indicates the time or value at which rainfall intensity reaches its maximum during a given period or event.
  • E. hasSeasonalFlooding
    Indicates that an area regularly experiences flooding during specific, recurring times of the year.
  • F. None of above.

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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35188e71c8190a3e82fa8d959de94 completed March 12, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69b34f4fe1c481908d6d66e15697c04b completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:14 p.m.