Triple

T2189914
Position Surface form Disambiguated ID Type / Status
Subject Alpine Garden (Berlin Botanical Garden) E49836 entity
Predicate hasClimateSimulation P30763 FINISHED
Object alpine conditions 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: alpine conditions | Statement: [Alpine Garden (Berlin Botanical Garden), hasClimateSimulation, alpine conditions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClimateSimulation
Context triple: [Alpine Garden (Berlin Botanical Garden), hasClimateSimulation, alpine conditions]
  • A. hasClimateSystem
    Indicates that one entity possesses or is characterized by a particular climate system.
  • 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. simulatesHabitatOf chosen
    Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf9e99f08190892d34485c8f2f25 completed March 7, 2026, 6:03 a.m.
PD Predicate disambiguation batch_69abbda32d1881909d1fd83a751fb21c completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:46 p.m.