Triple

T3263772
Position Surface form Disambiguated ID Type / Status
Subject Dongzhimen station E68474 entity
Predicate connectsLine P845 FINISHED
Object Capital Airport Express E66119 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: Capital Airport Express | Statement: [Dongzhimen station, connectsLine, Capital Airport Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capital Airport Express
Context triple: [Dongzhimen station, connectsLine, Capital Airport Express]
  • A. Capital Airport Express chosen
    Capital Airport Express is a dedicated rapid transit line in the Beijing Subway system that connects central Beijing with Beijing Capital International Airport.
  • B. MTR Airport Express
    MTR Airport Express is a high-speed rail service in Hong Kong that links Hong Kong International Airport with the city’s urban rail network.
  • C. Heathrow Express
    Heathrow Express is a non-stop high-speed train service linking London Paddington station with Heathrow Airport, providing one of the fastest rail connections between central London and the airport.
  • D. Metro Express
    Metro Express is a faster, limited-stop service operated as part of the broader Metro Bus public transportation system.
  • E. Metro Busway
    Metro Busway is Los Angeles County’s network of high-capacity, bus rapid transit corridors designed to provide faster, more reliable service than regular local bus lines.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafaa35e48190b894ca41dd65932b completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ee82a78819082582a24bac97f44 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.