Triple

T2080014
Position Surface form Disambiguated ID Type / Status
Subject Korea Standard Time E45216 entity
Predicate IANAZoneName P719 FINISHED
Object Asia/Seoul 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: Asia/Seoul | Statement: [Korea Standard Time, IANAZoneName, Asia/Seoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asia/Seoul
Context triple: [Korea Standard Time, IANAZoneName, Asia/Seoul]
  • 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. Asia/Yakutsk
    Asia/Yakutsk is the IANA time zone identifier representing Yakutsk Time, used in the Yakutsk region of Russia.
  • D. Jinju, South Korea
    Jinju, South Korea is a historic city in South Gyeongsang Province known for its riverside fortress, role in the Imjin War, and annual lantern festival.
  • E. Indochina Time
    Indochina Time is the standard time zone (UTC+7) used in several Southeast Asian countries, including Thailand, Vietnam, Cambodia, and Laos.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba345be48190a1895f388e7749e5 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae273ad87c8190a7b1407868692202 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:41 p.m.