Triple

T4234747
Position Surface form Disambiguated ID Type / Status
Subject Bishkek E94665 entity
Predicate timeZone P109 FINISHED
Object Kyrgyzstan Time E384875 NE 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: Kyrgyzstan Time | Statement: [Bishkek, timeZone, Kyrgyzstan Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyrgyzstan Time
Context triple: [Bishkek, timeZone, Kyrgyzstan Time]
  • A. Turkmenistan Time
    Turkmenistan Time is the standard time zone used throughout Turkmenistan, corresponding to UTC+5 hours.
  • B. Nepal Time
    Nepal Time is the standard time zone of Nepal, set at UTC+5:45 and used nationwide including in the capital, Kathmandu.
  • C. Bhutan Time chosen
    Bhutan Time is the standard time zone of Bhutan, set at UTC+6 and used nationwide including in the capital, Thimphu.
  • D. Afghanistan Time
    Afghanistan Time is the standard time zone used throughout Afghanistan, set at UTC+4:30.
  • E. Yakutsk Time
    Yakutsk Time is a time zone used in eastern Russia, including parts of the Sakha Republic, that is typically nine hours ahead of Coordinated Universal Time (UTC+9).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e6705548190b695b3789d713b4a completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a8630a4481909b9835aad51614b2 completed March 14, 2026, 6:26 p.m.
Created at: March 12, 2026, 11:05 p.m.