Triple

T16218735
Position Surface form Disambiguated ID Type / Status
Subject Los Tuxtlas and central highlands coffee region of Veracruz E393660 entity
Predicate hasRainfall P89042 FINISHED
Object high annual precipitation 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: high annual precipitation | Statement: [Los Tuxtlas and central highlands coffee region of Veracruz, hasRainfall, high annual precipitation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRainfall
Context triple: [Los Tuxtlas and central highlands coffee region of Veracruz, hasRainfall, high annual precipitation]
  • A. 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.
  • B. 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.).
  • C. rainfallLevel chosen
    Indicates the amount or intensity of rainfall occurring at a given place and time.
  • D. hasWeather
    Indicates that a location or environment is experiencing or characterized by a particular type of weather condition.
  • E. hasShowers
    Indicates that one entity provides or is equipped with shower facilities for use by another entity or by people in general.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227f95de081908e1abe32d281dbe7 completed April 17, 2026, 12:30 p.m.
PD Predicate disambiguation batch_69e219e94a448190b73a4e6aa374eb4a completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:03 a.m.