Triple

T18383214
Position Surface form Disambiguated ID Type / Status
Subject Beijing Subway Line 16 E446508 entity
Predicate hasStation P35 FINISHED
Object Xiyuan Station NE NERFINISHED

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: Xiyuan Station | Statement: [Beijing Subway Line 16, hasStation, Xiyuan Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiyuan Station
Context triple: [Beijing Subway Line 16, hasStation, Xiyuan Station]
  • A. Xiyuan station chosen
    Xiyuan station is a stop on the Beijing Subway network located in the Haidian District, serving passengers near attractions such as the Summer Palace.
  • B. Lianglukou Station
    Lianglukou Station is a major interchange station on the Chongqing Metro system in Chongqing, China, serving as a key hub for urban rail transit.
  • C. Xizhimen station
    Xizhimen station is a major interchange hub in the Beijing Subway system, connecting multiple lines and serving the busy Xizhimen commercial and transport area.
  • D. Weiwuying Station
    Weiwuying Station is an underground metro station in Kaohsiung, Taiwan, serving the Weiwuying area and providing access to the nearby National Kaohsiung Center for the Arts.
  • E. Baliqiao Station
    Baliqiao Station is a stop on Beijing’s Batong Line, serving passengers in the eastern part of the city’s subway network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179c931c8190b1c7c8284f42f7b7 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.