Triple

T6972553
Position Surface form Disambiguated ID Type / Status
Subject Bagmati Province E161631 entity
Predicate timeZone P109 FINISHED
Object Nepal Time E173520 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: Nepal Time | Statement: [Bagmati Province, timeZone, Nepal Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nepal Time
Context triple: [Bagmati Province, timeZone, Nepal Time]
  • A. Nepal Time chosen
    Nepal Time is the standard time zone of Nepal, set at UTC+5:45 and used nationwide including in the capital, Kathmandu.
  • B. Bhutan Time
    Bhutan Time is the standard time zone of Bhutan, set at UTC+6 and used nationwide including in the capital, Thimphu.
  • C. Afghanistan Time
    Afghanistan Time is the standard time zone used throughout Afghanistan, set at UTC+4:30.
  • D. Myanmar Standard Time
    Myanmar Standard Time is the time zone used throughout Myanmar, set at UTC+6:30 with no daylight saving time.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db398f10819096d34b179ccb20d5 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761a2b2f481908718b4803cfbfae9 completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.