Triple

T2155603
Position Surface form Disambiguated ID Type / Status
Subject Labuan E47879 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: [Labuan, locatedInTimeZone, Malaysia Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malaysia Time
Context triple: [Labuan, 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. Myanmar Standard Time
    Myanmar Standard Time is the time zone used throughout Myanmar, set at UTC+6:30 with no daylight saving time.
  • 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. Indonesia Standard Time system
    The Indonesia Standard Time system is the national timekeeping framework that divides Indonesia into multiple official time zones, including Western Indonesian Time.
  • E. Western Indonesian Time
    Western Indonesian Time is the standard time zone used in western parts of Indonesia, including major regions such as Java and Sumatra, set at UTC+7.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe669c188190bb4c1c391ca848b0 completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58e53fe481908fa4035ee98bd6ca completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.