Triple

T14060965
Position Surface form Disambiguated ID Type / Status
Subject MTR Corporation E338342 entity
Predicate operates P24 FINISHED
Object Airport Express line 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 line | Statement: [MTR Corporation, operates, Airport Express line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airport Express line
Context triple: [MTR Corporation, operates, Airport Express line]
  • A. 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.
  • B. Airport Express railway
    Airport Express railway is a high-speed rail service in Hong Kong that links Hong Kong International Airport with the city’s main urban and business districts.
  • C. Airport Express chosen
    Airport Express is a high-speed rail service in Hong Kong that links the city center with Hong Kong International Airport.
  • D. Capital Airport Express
    Capital Airport Express is a dedicated rapid transit line in the Beijing Subway system that connects central Beijing with Beijing Capital International Airport.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5686f51c81908c33143ecbaae83d completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6654850819083262f3fb981eb1a completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.