Triple

T17447426
Position Surface form Disambiguated ID Type / Status
Subject Ala-Too Square E424821 entity
Predicate locatedInTimeZone P109 FINISHED
Object Kyrgyzstan Time NE NERFINISHED

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: Kyrgyzstan Time | Statement: [Ala-Too Square, locatedInTimeZone, Kyrgyzstan Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyrgyzstan Time
Context triple: [Ala-Too Square, locatedInTimeZone, Kyrgyzstan Time]
  • A. Kyrgyzstan Time chosen
    Kyrgyzstan Time is the standard time zone used throughout Kyrgyzstan, corresponding to UTC+6 with no daylight saving time.
  • B. Turkmenistan Time
    Turkmenistan Time is the standard time zone used throughout Turkmenistan, corresponding to UTC+5 hours.
  • C. West Kazakhstan Time
    West Kazakhstan Time is the standard time zone used in western Kazakhstan, typically corresponding to UTC+5.
  • D. Uzbekistan Time
    Uzbekistan Time is the standard time zone used across Uzbekistan, set at UTC+5 hours with no daylight saving time.
  • E. Nepal Time
    Nepal Time is the standard time zone of Nepal, set at UTC+5:45 and used nationwide including in the capital, Kathmandu.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffe18f08190be023de89e3d7d5c completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:47 a.m.