Triple

T13087450
Position Surface form Disambiguated ID Type / Status
Subject Fanling E310373 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: [Fanling, timeZone, Hong Kong Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hong Kong Time
Context triple: [Fanling, 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff051bc88190a55c55377a352d3b completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:02 p.m.