Triple

T13824662
Position Surface form Disambiguated ID Type / Status
Subject Yikatong E332219 entity
Predicate usedOn P2367 FINISHED
Object Beijing 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: Beijing Capital Airport Express | Statement: [Yikatong, usedOn, Beijing Capital Airport Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beijing Capital Airport Express
Context triple: [Yikatong, usedOn, Beijing Capital Airport Express]
  • A. Daxing Airport Express
    Daxing Airport Express is a dedicated rapid transit line in Beijing that connects the city center with Beijing Daxing International Airport.
  • B. Airport Express (Beijing Subway)
    Airport Express (Beijing Subway) is a dedicated rapid transit line in Beijing that links the city’s urban rail network with Beijing Capital International Airport.
  • C. Beijing MTR
    Beijing MTR is a railway and metro operating company responsible for running several lines of the Beijing Subway in partnership with the city government.
  • D. 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.
  • E. Beijing Subway
    The Beijing Subway is one of the world’s largest and busiest rapid transit systems, forming the backbone of public transportation in China’s capital city.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0285fb7c8190be4b90bdc0d6fa53 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce68804881909546073eb72c504c completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:13 p.m.