Triple

T17508948
Position Surface form Disambiguated ID Type / Status
Subject Jinmen County E426397 entity
Predicate timezone P109 FINISHED
Object National Standard Time (Taiwan) 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: National Standard Time (Taiwan) | Statement: [Jinmen County, timezone, National Standard Time (Taiwan)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National Standard Time (Taiwan)
Context triple: [Jinmen County, timezone, National Standard Time (Taiwan)]
  • A. Taipei Time chosen
    Taipei Time is the time zone used in Taiwan, corresponding to National Standard Time at UTC+8 without daylight saving time.
  • B. China Standard Time
    China Standard Time is the single official time zone used throughout mainland China, corresponding to UTC+8.
  • C. Korea Standard Time
    Korea Standard Time is the time zone used on the Korean Peninsula, set at UTC+9 hours.
  • D. Indochina Time
    Indochina Time is the standard time zone (UTC+7) used in several Southeast Asian countries, including Thailand, Vietnam, Cambodia, and Laos.
  • E. Sakhalin Time
    Sakhalin Time is the time zone used on Russia’s Sakhalin Island, corresponding to UTC+11 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525a43208190b8728214767428c0 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.