Triple

T413987
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Tianhe International Airport E9550 entity
Predicate timezone 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 Tianhe International Airport, timezone, China Standard Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China Standard Time
Context triple: [Wuhan Tianhe International Airport, timezone, 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. 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.
  • D. Indian Standard Time
    Indian Standard Time is the time zone used throughout India, set at UTC+5:30.
  • E. Cuba Standard Time
    Cuba Standard Time is the standard time zone used throughout the island nation of Cuba, typically corresponding to UTC−05:00.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecdd3d1c8190a31b071569cfc980 completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a41b4ce1648190b1f46ba33d7cf946 completed March 1, 2026, 10:56 a.m.
Created at: Feb. 28, 2026, 1:09 p.m.