Triple

T30253690
Position Surface form Disambiguated ID Type / Status
Subject Lut Desert E769276 entity
Predicate temperatureRecordType P140999 FINISHED
Object highest land surface temperatures measured by satellite 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: highest land surface temperatures measured by satellite | Statement: [Lut Desert, temperatureRecordType, highest land surface temperatures measured by satellite]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temperatureRecordType
Context triple: [Lut Desert, temperatureRecordType, highest land surface temperatures measured by satellite]
  • A. recordedTemperatureType chosen
    Indicates the type or category of temperature that was recorded (e.g., air, surface, body, maximum, minimum).
  • B. maximumRecordedTemperature
    Indicates the highest temperature value that has been observed and recorded for a given entity or context.
  • C. typicalTemperature
    Indicates the usual or characteristic temperature associated with an entity under normal conditions.
  • D. temperatureConditions
    Indicates the specific thermal or weather-related temperature state or range affecting an entity or situation.
  • E. temperatureChange
    Indicates a change in temperature between two states, times, or conditions, specifying how much and in which direction the temperature has varied.
  • 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_69f224831dc08190b2e569b987264057 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6807e374881909a0c7edfde2e8f35 completed May 2, 2026, 10:53 p.m.
PD Predicate disambiguation batch_69f6760216108190bbb708d53a6c2c25 completed May 2, 2026, 10:09 p.m.
Created at: April 29, 2026, 7:40 p.m.