Triple

T30854593
Position Surface form Disambiguated ID Type / Status
Subject Köppen Cfa E785883 entity
Predicate hasTypicalAnnualTemperature P19296 FINISHED
Object generally above 16 °C in many locations 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: generally above 16 °C in many locations | Statement: [Köppen Cfa, hasTypicalAnnualTemperature, generally above 16 °C in many locations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypicalAnnualTemperature
Context triple: [Köppen Cfa, hasTypicalAnnualTemperature, generally above 16 °C in many locations]
  • A. hasAverageAnnualTemperature_C
    Indicates that an entity is associated with a specific value representing its average annual temperature measured in degrees Celsius.
  • B. typicalTemperature chosen
    Indicates the usual or characteristic temperature associated with an entity under normal conditions.
  • C. hasTypicalTemperatureVariation
    Indicates that an entity is associated with a characteristic or usual range of temperature change under normal conditions.
  • D. hasAverageSpringTemperature
    Indicates that an entity is associated with a specific average temperature value measured over the spring season.
  • E. averageAnnualHighTemperature
    Indicates the typical yearly mean of the highest daily temperatures recorded for a given location or entity.
  • 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_69f224b91c14819084e764832fe67a57 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fe629b4fa481908467c7c41b77f0c6 completed May 8, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69fe61bb260c819083f9378a3a06ca47 completed May 8, 2026, 10:20 p.m.
Created at: April 29, 2026, 8:46 p.m.