Triple

T21660123
Position Surface form Disambiguated ID Type / Status
Subject Sevier Desert E534572 entity
Predicate hasAverageAnnualPrecipitation P472 FINISHED
Object less than 250 millimeters 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: less than 250 millimeters | Statement: [Sevier Desert, hasAverageAnnualPrecipitation, less than 250 millimeters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAverageAnnualPrecipitation
Context triple: [Sevier Desert, hasAverageAnnualPrecipitation, less than 250 millimeters]
  • 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. hasHighPrecipitation
    Indicates that a location or time period experiences a large amount of precipitation, such as rain or snow, relative to a defined standard or average.
  • D. averageAnnualSunshineDays
    Indicates the typical number of days per year that a location experiences sunshine, averaged over a specified period.
  • E. typicalPrecipitationPattern
    Indicates the usual or characteristic pattern of precipitation associated with a place, time period, or climate condition.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c07bcb88190a9864672c20325ff completed April 27, 2026, 2 p.m.
PD Predicate disambiguation batch_69e696826c3c81909270791e79760937 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:36 p.m.