Triple

T26323789
Position Surface form Disambiguated ID Type / Status
Subject Köppen Dwa E662189 entity
Predicate hasSummerTemperatureCriterion P107019 FINISHED
Object warmest month temperature ≥ 22 °C 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: warmest month temperature ≥ 22 °C | Statement: [Köppen Dwa, hasSummerTemperatureCriterion, warmest month temperature ≥ 22 °C]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSummerTemperatureCriterion
Context triple: [Köppen Dwa, hasSummerTemperatureCriterion, warmest month temperature ≥ 22 °C]
  • A. hasSummerTemperatureCode
    Indicates that an entity is associated with a specific coded value representing its characteristic temperature conditions during the summer season.
  • B. hasTemperatureCriterion chosen
    Indicates that something is associated with a specific temperature-based condition or requirement that must be met.
  • C. averageSummerTemperatureC
    Indicates the typical or mean air temperature, measured in degrees Celsius, experienced at a location during the summer season.
  • D. summerTemperatureRange_C
    Indicates the range of temperatures, measured in degrees Celsius, that typically occur during the summer period for a given entity or location.
  • E. hasHotSeason
    Indicates that an entity experiences a distinct period of time characterized by hot or high-temperature weather 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_69ee812e73048190aae587f1d51e5a06 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f73ae120bc8190bff94d38d7a7a00d completed May 3, 2026, 12:09 p.m.
PD Predicate disambiguation batch_69f73a38d0848190aa5139144b8561c6 completed May 3, 2026, 12:06 p.m.
Created at: April 26, 2026, 10:29 p.m.