Triple

T664950
Position Surface form Disambiguated ID Type / Status
Subject Port of Wuhan E12839 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: [Port of Wuhan, locatedInTimeZone, China Standard Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China Standard Time
Context triple: [Port of Wuhan, 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. 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.
  • E. Indian Standard Time
    Indian Standard Time is the time zone used throughout India, set at UTC+5:30.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd3d8fc8190866af5c76c08f486 completed March 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c39abcbc819093797700dc32d25a completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.