Triple

T2876149
Position Surface form Disambiguated ID Type / Status
Subject Wuhan–Jiujiang Passenger Railway E56882 entity
Predicate locatedInTimeZone P109 FINISHED
Object China Standard Time E5773 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: China Standard Time | Statement: [Wuhan–Jiujiang Passenger Railway, locatedInTimeZone, China Standard Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China Standard Time
Context triple: [Wuhan–Jiujiang Passenger Railway, locatedInTimeZone, China Standard Time]
  • A. China Standard Time chosen
    China Standard Time is the single official time zone used throughout mainland China, corresponding to UTC+8.
  • B. Korea Standard Time
    Korea Standard Time is the time zone used on the Korean Peninsula, set at UTC+9 hours.
  • 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. Myanmar Standard Time
    Myanmar Standard Time is the time zone used throughout Myanmar, set at UTC+6:30 with no daylight saving time.
  • E. Hong Kong Time
    Hong Kong Time is the standard time zone used in Hong Kong, set at UTC+8 without daylight saving time.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0061d048190bb1e5a01e7ceb0e2 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01da030a88190b9e23a461695176f completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:03 p.m.