Triple

T10460034
Position Surface form Disambiguated ID Type / Status
Subject VHHH E246646 entity
Predicate replacedAirport P29669 FINISHED
Object Kai Tak Airport E254717 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: Kai Tak Airport | Statement: [VHHH, replacedAirport, Kai Tak Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kai Tak Airport
Context triple: [VHHH, replacedAirport, Kai Tak Airport]
  • A. Kai Tak Airport chosen
    Kai Tak Airport was Hong Kong’s former international airport, famous for its dramatic approach over the city and close-proximity landings before it closed in 1998.
  • B. Hong Kong International Airport
    Hong Kong International Airport is a major global aviation hub and one of the world’s busiest passenger and cargo airports, serving Hong Kong with extensive international connections.
  • C. Tung Chung Terminal
    Tung Chung Terminal is the urban cable car terminus and main ticketing hub for the Ngong Ping 360 attraction on Lantau Island, Hong Kong.
  • D. Chek Lap Kok
    Chek Lap Kok is a reclaimed island in Hong Kong best known as the site of Hong Kong International Airport.
  • E. Hongkong International Terminals
    Hongkong International Terminals is a leading container terminal operator in Hong Kong, managing some of the busiest and most advanced port facilities in the region.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50882eb0c8190a4311634b867eab1 completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fcc84b48190a39de0d9b9111ebd completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:18 p.m.