Triple

T16124240
Position Surface form Disambiguated ID Type / Status
Subject Tamsui–Xinyi line E391223 entity
Predicate hasStation P35 FINISHED
Object Qizhang station
Qizhang station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Tamsui–Xinyi line.
 E1335496 NE FINISHED

How this triple was built (4 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: Qizhang station | Statement: [Tamsui–Xinyi line, hasStation, Qizhang station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qizhang station
Context triple: [Tamsui–Xinyi line, hasStation, Qizhang station]
  • A. Qiyan station
    Qiyan station is a metro station on the Taipei Metro system in Taipei, Taiwan.
  • B. Zuoying Station
    Zuoying Station is a major transportation hub in Kaohsiung, Taiwan, serving high-speed rail, conventional rail, and metro services.
  • C. Zhuwei station
    Zhuwei station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Tamsui–Xinyi line.
  • D. Zhichunlu station
    Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
  • E. Jiantan Station
    Jiantan Station is a Taipei Metro station in Taiwan that serves as a major access point for visitors to the popular Shilin Night Market.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Qizhang station
Triple: [Tamsui–Xinyi line, hasStation, Qizhang station]
Generated description
Qizhang station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Tamsui–Xinyi line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qizhang station
Target entity description: Qizhang station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Tamsui–Xinyi line.
  • A. Qiyan station
    Qiyan station is a metro station on the Taipei Metro system in Taipei, Taiwan.
  • B. Zuoying Station
    Zuoying Station is a major transportation hub in Kaohsiung, Taiwan, serving high-speed rail, conventional rail, and metro services.
  • C. Zhuwei station
    Zhuwei station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Tamsui–Xinyi line.
  • D. Zhichunlu station
    Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
  • E. Jiantan Station
    Jiantan Station is a Taipei Metro station in Taiwan that serves as a major access point for visitors to the popular Shilin Night Market.
  • F. None of above. chosen

Provenance (5 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020342988190add65c784b8ee179 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a051701512c819080be8649f1f1b401 completed May 14, 2026, 12:27 a.m.
NEDg Description generation batch_6a05184e0cc881909aad820f5afc34be completed May 14, 2026, 12:33 a.m.
NED2 Entity disambiguation (via description) batch_6a05189feab08190ad33ec2f5711fecb completed May 14, 2026, 12:34 a.m.
Created at: April 10, 2026, 5 a.m.