Triple

T3161880
Position Surface form Disambiguated ID Type / Status
Subject Capital Airport Express E66119 entity
Predicate terminus P388 FINISHED
Object Dongzhimen station E68474 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: Dongzhimen station | Statement: [Capital Airport Express, terminus, Dongzhimen station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongzhimen station
Context triple: [Capital Airport Express, terminus, Dongzhimen station]
  • A. Dongzhimen station chosen
    Dongzhimen station is a major Beijing Subway interchange hub connecting multiple lines and serving as a key gateway to the city’s northeastern districts and the airport rail link.
  • B. Chaoyangmen station
    Chaoyangmen station is a major interchange stop on the Beijing Subway serving the central Chaoyangmen area of Beijing.
  • C. Fuxingmen station
    Fuxingmen station is a major interchange stop on the Beijing Subway, serving as a key transfer point between multiple central city lines.
  • D. Chongwenmen station
    Chongwenmen station is a major interchange stop on the Beijing Subway serving central Beijing near the historic Chongwenmen gate area.
  • E. Fuchengmen station
    Fuchengmen station is an underground metro station in Beijing serving the central Xicheng District as part of the city’s extensive subway network.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada618b9b88190afaa6d47dcad9f2c completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44ecf7808819096b183a0696376b6 completed March 13, 2026, 5:52 p.m.
Created at: March 8, 2026, 3:06 p.m.