Triple

T12954228
Position Surface form Disambiguated ID Type / Status
Subject Tsing Yi Island E309968 entity
Predicate servedBy P82 FINISHED
Object Airport Express E246649 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: Airport Express | Statement: [Tsing Yi Island, servedBy, Airport Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airport Express
Context triple: [Tsing Yi Island, servedBy, Airport Express]
  • A. Airport Express chosen
    Airport Express is a high-speed rail service in Hong Kong that links the city center with Hong Kong International Airport.
  • B. Airport Express Line
    The Airport Express Line is a high-speed Delhi Metro corridor that connects central Delhi with Indira Gandhi International Airport, providing fast transit for air travelers and commuters.
  • C. Airport West
    Airport West is a residential and commercial suburb in Melbourne, Victoria, known for its proximity to Essendon Fields and Melbourne Airport and its major shopping centre, Westfield Airport West.
  • D. Airport Line
    Airport Line is a railway line in Japan that connects urban areas to Kansai International Airport, operated by the private Nankai Electric Railway company.
  • E. Airport Line
    Airport Line is a Wuhan Metro route that connects the city’s urban rail network with its main airport, providing rapid transit access for air travelers.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2b0108819098a681f93e90dbda completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af7ba4d88190952622e7a07ab39e completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:44 p.m.