Triple

T14364413
Position Surface form Disambiguated ID Type / Status
Subject Sai Kung E356190 entity
Predicate timeZone P109 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: [Sai Kung, timeZone, Hong Kong Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hong Kong Time
Context triple: [Sai Kung, timeZone, 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. Wan Chai, Hong Kong
    Wan Chai, Hong Kong is a bustling commercial and entertainment district on Hong Kong Island known for its mix of office towers, shopping, nightlife, and historic sites.
  • E. Pokfulam, Hong Kong
    Pokfulam, Hong Kong is a residential and institutional district on the western side of Hong Kong Island, known for housing the main campus of the University of Hong Kong and a mix of historic villages, public housing, and green hillsides.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fad48748190a0f34ca4d02f9a3c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4cb0c4819094d59b4b1d43588b completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.