Triple

T478823
Position Surface form Disambiguated ID Type / Status
Subject Amazon rainforest E9120 entity
Predicate hasAverageAnnualRainfall P472 FINISHED
Object approximately 2000 to 3000 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: approximately 2000 to 3000 millimeters | Statement: [Amazon rainforest, hasAverageAnnualRainfall, approximately 2000 to 3000 millimeters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAverageAnnualRainfall
Context triple: [Amazon rainforest, hasAverageAnnualRainfall, approximately 2000 to 3000 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. hasAverageSpringTemperature
    Indicates that an entity is associated with a specific average temperature value measured over the spring season.
  • D. averageTemperature
    Indicates the typical or mean temperature value associated with an entity over a specified period or context.
  • E. hasClimate
    Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f056459881909749764cc4a7f9e8 completed Feb. 28, 2026, 1:40 p.m.
PD Predicate disambiguation batch_69a2edf1d5848190a7da27e2fddc136f completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.