Triple

T16728011
Position Surface form Disambiguated ID Type / Status
Subject WBGG E406512 entity
Predicate locatedInTimeZone P109 FINISHED
Object Malaysia Time E35608 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: Malaysia Time | Statement: [WBGG, locatedInTimeZone, Malaysia Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malaysia Time
Context triple: [WBGG, locatedInTimeZone, Malaysia Time]
  • A. Malaysia Time chosen
    Malaysia Time is the standard time zone used throughout Malaysia, set eight hours ahead of Coordinated Universal Time (UTC+8).
  • B. Brunei Darussalam Time
    Brunei Darussalam Time is the standard time zone used throughout Brunei, set at UTC+8 with no daylight saving time.
  • C. Singapore Standard Time
    Singapore Standard Time is the time zone used throughout Singapore, corresponding to UTC+8 with no daylight saving time.
  • 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. Maldives Time
    Maldives Time is the standard time zone used throughout the Maldives, corresponding to UTC+5 without 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38749baa48190892b2e2b978f6eb6 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d483a8c8190b127f32dcc21be5a completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.