Triple

T2106147
Position Surface form Disambiguated ID Type / Status
Subject Rub al Khali E42398 entity
Predicate minimumTemperature P17371 FINISHED
Object can fall near freezing in winter nights 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: can fall near freezing in winter nights | Statement: [Rub al Khali, minimumTemperature, can fall near freezing in winter nights]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: minimumTemperature
Context triple: [Rub al Khali, minimumTemperature, can fall near freezing in winter nights]
  • A. minSurfaceTemperature
    Indicates the lowest temperature value observed or allowed on the surface of an object or environment.
  • B. recordLowTemperature
    Indicates that a specified temperature value is the lowest recorded temperature for a given entity, location, or time period.
  • C. averageMinTemperatureColdestMonth
    Indicates the lowest average minimum temperature recorded during the coldest month in a given location or period.
  • D. typicalTemperature
    Indicates the usual or characteristic temperature associated with an entity under normal conditions.
  • E. averageWinterLowTemperature chosen
    Indicates the typical minimum temperature experienced during the winter season for a given location or period.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbaddeb148190b728bce7a7b041fb completed March 7, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69abb7b7b6288190afa11b4d93bd5666 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:43 p.m.