Triple

T9125720
Position Surface form Disambiguated ID Type / Status
Subject Myanmar Standard Time E218962 entity
Predicate hasAlternativeName P39 FINISHED
Object Myanmar Time E218962 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: Myanmar Time | Statement: [Myanmar Standard Time, hasAlternativeName, Myanmar Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myanmar Time
Context triple: [Myanmar Standard Time, hasAlternativeName, Myanmar Time]
  • A. Myanmar Standard Time chosen
    Myanmar Standard Time is the time zone used throughout Myanmar, set at UTC+6:30 with no daylight saving time.
  • B. Malaysia Time
    Malaysia Time is the standard time zone used throughout Malaysia, set eight hours ahead of Coordinated Universal Time (UTC+8).
  • C. Indochina Time
    Indochina Time is the standard time zone (UTC+7) used in several Southeast Asian countries, including Thailand, Vietnam, Cambodia, and Laos.
  • D. Bhutan Time
    Bhutan Time is the standard time zone of Bhutan, set at UTC+6 and used nationwide including in the capital, Thimphu.
  • 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 (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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b8970881909c3b2c67fc131627 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0544f7be481908f247889363c0f32 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:17 p.m.