Triple

T15120568
Position Surface form Disambiguated ID Type / Status
Subject Sibu E361159 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: [Sibu, locatedInTimeZone, Malaysia Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malaysia Time
Context triple: [Sibu, 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059e036c8190959ff3bde8f2356f completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f2e3408190ae095d16396e420d completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.