Triple

T16124214
Position Surface form Disambiguated ID Type / Status
Subject Tamsui–Xinyi line E391223 entity
Predicate hasStation P35 FINISHED
Object Hongshulin station
Hongshulin station is a metro station in New Taipei, Taiwan, serving as a stop on Taipei Metro’s Tamsui–Xinyi line and an interchange with the Danhai light rail.
 E1315626 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: Hongshulin station | Statement: [Tamsui–Xinyi line, hasStation, Hongshulin station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hongshulin station
Context triple: [Tamsui–Xinyi line, hasStation, Hongshulin station]
  • A. Liyuan Station
    Liyuan Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
  • B. Huoying station
    Huoying station is an interchange stop on the Beijing Subway that connects passengers to Line 13 and other transit services in the northern part of the city.
  • C. Luoxi station
    Luoxi station is a metro station in Guangzhou, China, serving passengers on the city's rapid transit network.
  • D. Zuoying Station
    Zuoying Station is a major transportation hub in Kaohsiung, Taiwan, serving high-speed rail, conventional rail, and metro services.
  • E. Huilong station
    Huilong station is a metro station in New Taipei, Taiwan, serving as a key terminal stop on the Taipei Metro network.
  • 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: Hongshulin station
Triple: [Tamsui–Xinyi line, hasStation, Hongshulin station]
Generated description
Hongshulin station is a metro station in New Taipei, Taiwan, serving as a stop on Taipei Metro’s Tamsui–Xinyi line and an interchange with the Danhai light rail.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hongshulin station
Target entity description: Hongshulin station is a metro station in New Taipei, Taiwan, serving as a stop on Taipei Metro’s Tamsui–Xinyi line and an interchange with the Danhai light rail.
  • A. Liyuan Station
    Liyuan Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
  • B. Huoying station
    Huoying station is an interchange stop on the Beijing Subway that connects passengers to Line 13 and other transit services in the northern part of the city.
  • C. Luoxi station
    Luoxi station is a metro station in Guangzhou, China, serving passengers on the city's rapid transit network.
  • D. Zuoying Station
    Zuoying Station is a major transportation hub in Kaohsiung, Taiwan, serving high-speed rail, conventional rail, and metro services.
  • E. Huilong station
    Huilong station is a metro station in New Taipei, Taiwan, serving as a key terminal stop on the Taipei Metro network.
  • 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_6a03b3daaa6c819093420d0a4dc97a5a completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b5109b108190a3dea7e6f44a060f completed May 12, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_6a03b65c8d5c819080b8b6b95aea8a35 completed May 12, 2026, 11:23 p.m.
Created at: April 10, 2026, 5 a.m.