Triple

T16124229
Position Surface form Disambiguated ID Type / Status
Subject Tamsui–Xinyi line E391223 entity
Predicate hasStation P35 FINISHED
Object Shuanglian station
Shuanglian station is a metro station on the Taipei Metro system in Taipei, Taiwan.
 E1330352 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: Shuanglian station | Statement: [Tamsui–Xinyi line, hasStation, Shuanglian station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shuanglian station
Context triple: [Tamsui–Xinyi line, hasStation, Shuanglian station]
  • A. Shuangqiao Station
    Shuangqiao Station is a subway station in Beijing, China, serving as one of the stops on the city's urban rail transit network.
  • B. Liyuan Station
    Liyuan Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
  • C. Xinzhuang station
    Xinzhuang station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Zhonghe–Xinlu line.
  • D. Liuliqiao station
    Liuliqiao station is a Beijing Subway interchange station serving Line 9 and other lines in the southwestern part of the city.
  • E. 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.
  • 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: Shuanglian station
Triple: [Tamsui–Xinyi line, hasStation, Shuanglian station]
Generated description
Shuanglian station is a metro station on the Taipei Metro system in Taipei, Taiwan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shuanglian station
Target entity description: Shuanglian station is a metro station on the Taipei Metro system in Taipei, Taiwan.
  • A. Shuangqiao Station
    Shuangqiao Station is a subway station in Beijing, China, serving as one of the stops on the city's urban rail transit network.
  • B. Liyuan Station
    Liyuan Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
  • C. Xinzhuang station
    Xinzhuang station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Zhonghe–Xinlu line.
  • D. Liuliqiao station
    Liuliqiao station is a Beijing Subway interchange station serving Line 9 and other lines in the southwestern part of the city.
  • E. 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.
  • 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_6a049abb14b88190bda735aa1c9c81b5 completed May 13, 2026, 3:37 p.m.
NEDg Description generation batch_6a049c86bd748190a10f6f720cc4c9eb completed May 13, 2026, 3:45 p.m.
NED2 Entity disambiguation (via description) batch_6a049e9f82d48190b375adef9fbfd1bd completed May 13, 2026, 3:54 p.m.
Created at: April 10, 2026, 5 a.m.