Triple

T21512255
Position Surface form Disambiguated ID Type / Status
Subject BWh E530754 entity
Predicate hasTypicalAnnualPrecipitationRange P472 FINISHED
Object often below 250 mm per year 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: often below 250 mm per year | Statement: [BWh, hasTypicalAnnualPrecipitationRange, often below 250 mm per year]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypicalAnnualPrecipitationRange
Context triple: [BWh, hasTypicalAnnualPrecipitationRange, often below 250 mm per year]
  • A. averageAnnualPrecipitation chosen
    Indicates the typical total amount of precipitation an entity receives over the course of a year, averaged across multiple years.
  • B. typicalPrecipitationPattern
    Indicates the usual or characteristic pattern of precipitation associated with a place, time period, or climate condition.
  • 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. averageAnnualSnowfall
    Indicates the typical amount of snow that falls in a given location over the course of a year, averaged across multiple years.
  • E. hasPrecipitationCriterion
    Indicates that something is subject to, defined by, or must satisfy a specified condition related to precipitation (such as amount, type, or occurrence of rainfall, snow, etc.).
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea8779c081908171c58d345d54ae completed April 23, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69e6320043bc81909417c41a718652ba completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:25 p.m.