Triple

T16192011
Position Surface form Disambiguated ID Type / Status
Subject Lhuentse District E392962 entity
Predicate timeZone P109 FINISHED
Object Bhutan 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: Bhutan Time | Statement: [Lhuentse District, timeZone, Bhutan Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhutan Time
Context triple: [Lhuentse District, timeZone, Bhutan Time]
  • A. Bhutan Time chosen
    Bhutan Time is the standard time zone of Bhutan, set at UTC+6 and used nationwide including in the capital, Thimphu.
  • 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. Kyrgyzstan Time
    Kyrgyzstan Time is the standard time zone used throughout Kyrgyzstan, corresponding to UTC+6 with no daylight saving time.
  • D. Brunei Darussalam Time
    Brunei Darussalam Time is the standard time zone used throughout Brunei, set at UTC+8 with no daylight saving time.
  • E. Bhutan
    Bhutan is a small, landlocked Himalayan kingdom in South Asia known for its Buddhist culture, mountainous landscapes, and emphasis on Gross National Happiness.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d6975c8190a512a65d5b0021bb completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff095504819096c36d6c5d131207 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.