Triple

T19271476
Position Surface form Disambiguated ID Type / Status
Subject Russia–China border E481937 entity
Predicate timeZoneOnRussianSide P135386 FINISHED
Object UTC+7 to UTC+10 LITERAL 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: UTC+7 to UTC+10 | Statement: [Russia–China border, timeZoneOnRussianSide, UTC+7 to UTC+10]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeZoneOnRussianSide
Context triple: [Russia–China border, timeZoneOnRussianSide, UTC+7 to UTC+10]
  • A. timeZoneOnBelarusianSide
    Indicates that the referenced time zone is the one used on the Belarusian side of a border, region, or context involving Belarus.
  • B. timeZoneOnPolishSide
    Indicates that the referenced time zone applies to the Polish side of a border or region.
  • C. followsRussianTimeReform
    Indicates that the entity adopts or conforms to the post-reform Russian timekeeping system (time zones and daylight saving rules) established by Russian time legislation changes.
  • D. timeZoneOnChineseSide
    Indicates that the referenced time zone is the one used on the Chinese side of a border, boundary, or cross-border context.
  • E. timeZoneOnUSSide
    Indicates that the referenced time zone is the one used on the United States side of a border, region, or cross-national context.
  • F. None of above. chosen

Provenance (4 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbb8bea08190b5c65eebe67dccbb completed April 20, 2026, 10:11 a.m.
PD Predicate disambiguation batch_69e4dd07a7208190afcd51ba1dc87c33 completed April 19, 2026, 1:47 p.m.
PDg Predicate description generation batch_69e4df51ac6c819091ce72b07790ffa6 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 1:29 p.m.