Triple

T22828497
Position Surface form Disambiguated ID Type / Status
Subject Begumganj Upazila E565728 entity
Predicate hasTimezone P3413 FINISHED
Object Bangladesh Standard Time NE NERFINISHED

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: Bangladesh Standard Time | Statement: [Begumganj Upazila, hasTimezone, Bangladesh Standard Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangladesh Standard Time
Context triple: [Begumganj Upazila, hasTimezone, Bangladesh Standard Time]
  • A. Bangladesh Standard Time chosen
    Bangladesh Standard Time is the time zone used in Bangladesh, corresponding to UTC+6 hours with no daylight saving time.
  • B. Myanmar Standard Time
    Myanmar Standard Time is the time zone used throughout Myanmar, set at UTC+6:30 with no daylight saving time.
  • C. Indian Standard Time
    Indian Standard Time is the time zone used throughout India, set at UTC+5:30.
  • 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. Pakistan Standard Time
    Pakistan Standard Time is the time zone used throughout Pakistan, corresponding to UTC+5 hours.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2a0e308190941064965346f890 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:34 p.m.