Triple

T25498486
Position Surface form Disambiguated ID Type / Status
Subject Mount Abu Observatory E639042 entity
Predicate hasClimateAdvantage P163014 FINISHED
Object low atmospheric water vapour 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: low atmospheric water vapour | Statement: [Mount Abu Observatory, hasClimateAdvantage, low atmospheric water vapour]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClimateAdvantage
Context triple: [Mount Abu Observatory, hasClimateAdvantage, low atmospheric water vapour]
  • A. hasClimateAdvantage chosen
    Indicates that one entity possesses a more favorable or beneficial climate condition compared to another entity or context.
  • B. hasClimate
    Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
  • C. hasClimateContext
    Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
  • D. hasClimateInfluence
    Indicates that one entity affects or contributes to the climate characteristics or climate-related conditions of another entity.
  • E. hasMicroclimateFunction
    Indicates that something performs or contributes to a specific microclimate-regulating role or effect within an environment.
  • 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_69e75dbbd2a88190b70e1e645de14b9a completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f638d11c988190af7fd4572b08e038 completed May 2, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69f63706b6008190993577193c85ff50 completed May 2, 2026, 5:40 p.m.
Created at: April 21, 2026, 2:41 p.m.