Triple

T4343196
Position Surface form Disambiguated ID Type / Status
Subject Köppen Aw E97834 entity
Predicate hasDryMonthPrecipitationCriterion P16763 FINISHED
Object driest month precipitation less than 60 mm 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: driest month precipitation less than 60 mm | Statement: [Köppen Aw, hasDryMonthPrecipitationCriterion, driest month precipitation less than 60 mm]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDryMonthPrecipitationCriterion
Context triple: [Köppen Aw, hasDryMonthPrecipitationCriterion, driest month precipitation less than 60 mm]
  • A. wettestMonths
    Indicates the months during which a location experiences the highest amount of precipitation compared to other months.
  • B. drySeason chosen
    Indicates that the relationship or action occurs during, or is characteristic of, a period with little or no rainfall.
  • C. hasLowestFlowMonths
    Indicates that the related months are those during which the flow (e.g., of water, traffic, or another quantity) reaches its minimum levels for the given entity or period.
  • D. hasMinimumWeatherRequirements
    Indicates that a subject is associated with the lowest acceptable set of weather conditions required for a particular activity, operation, or state to occur.
  • E. averageAnnualPrecipitation
    Indicates the typical total amount of precipitation an entity receives over the course of a year, averaged across multiple years.
  • 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.