Triple

T9322206
Position Surface form Disambiguated ID Type / Status
Subject Manila–Hong Kong E224294 entity
Predicate timeZoneContext P26707 FINISHED
Object Hong Kong Time E185646 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: Hong Kong Time | Statement: [Manila–Hong Kong, timeZoneContext, Hong Kong Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hong Kong Time
Context triple: [Manila–Hong Kong, timeZoneContext, Hong Kong Time]
  • A. Hong Kong Time chosen
    Hong Kong Time is the standard time zone used in Hong Kong, set at UTC+8 without daylight saving time.
  • B. Taipei Time
    Taipei Time is the time zone used in Taiwan, corresponding to National Standard Time at UTC+8 without daylight saving time.
  • C. Hong Kong, China
    Hong Kong, China is a major global financial and trading hub and a Special Administrative Region of China located on the southern coast of the country.
  • D. Lo Wu, Hong Kong
    Lo Wu, Hong Kong is a major northern border area and transport hub linking Hong Kong with mainland China, particularly Shenzhen’s Luohu District.
  • E. Singapore Standard Time
    Singapore Standard Time is the time zone used throughout Singapore, corresponding to UTC+8 with no 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd36f2bd288190bb1556a88d9e90f3 completed April 1, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7d70b1c8190a254f58efc370624 completed April 4, 2026, 8:12 a.m.
Created at: March 30, 2026, 7:38 p.m.