Triple

T19677281
Position Surface form Disambiguated ID Type / Status
Subject Jalal-Abad Region E472486 entity
Predicate timeZone 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: [Jalal-Abad Region, timeZone, Kyrgyzstan Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyrgyzstan Time
Context triple: [Jalal-Abad Region, timeZone, 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. Tajikistan Time
    Tajikistan Time is the standard time zone used throughout Tajikistan, corresponding to UTC+5 hours with no daylight saving time.
  • D. West Kazakhstan Time
    West Kazakhstan Time is the standard time zone used in western Kazakhstan, typically corresponding to UTC+5.
  • E. Uzbekistan Time
    Uzbekistan Time is the standard time zone used across Uzbekistan, set at UTC+5 hours with no daylight saving time.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bceef881909c5b655af709c8c6 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.