Triple

T5049138
Position Surface form Disambiguated ID Type / Status
Subject Kaesong Industrial Region E113740 entity
Predicate timeZone P109 FINISHED
Object Korea Standard Time E45216 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: Korea Standard Time | Statement: [Kaesong Industrial Region, timeZone, Korea Standard Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korea Standard Time
Context triple: [Kaesong Industrial Region, timeZone, Korea Standard Time]
  • A. Korea Standard Time chosen
    Korea Standard Time is the time zone used on the Korean Peninsula, set at UTC+9 hours.
  • B. Japan Standard Time
    Japan Standard Time is the standard time zone used throughout Japan, set at nine hours ahead of Coordinated Universal Time (UTC+9) without daylight saving time.
  • C. Sakhalin Time
    Sakhalin Time is the time zone used on Russia’s Sakhalin Island, corresponding to UTC+11 hours.
  • 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. China Standard Time
    China Standard Time is the single official time zone used throughout mainland China, corresponding to UTC+8.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74249a8c8190952680aee06a9286 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c9305bc8190b323e69c17241ffc completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.