Triple

T6163759
Position Surface form Disambiguated ID Type / Status
Subject Bangladesh Standard Time E137505 entity
Predicate sameOffsetAs P8570 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: [Bangladesh Standard Time, sameOffsetAs, Bhutan Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhutan Time
Context triple: [Bangladesh Standard Time, sameOffsetAs, 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. Bhutan
    Bhutan is a small, landlocked Himalayan kingdom in South Asia known for its Buddhist culture, mountainous landscapes, and emphasis on Gross National Happiness.
  • 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. Bolivia Time
    Bolivia Time is the standard time zone used throughout Bolivia, corresponding to UTC−4 with no daylight saving time.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d6036f88190a4bf540e7fe8d48d completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1419e7f0481908b7ce6f36871f1ad completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.