Triple

T16124221
Position Surface form Disambiguated ID Type / Status
Subject Tamsui–Xinyi line E391223 entity
Predicate hasStation P35 FINISHED
Object Qilian station
Qilian station is a metro station on the Taipei Metro system in New Taipei City, Taiwan.
 E1195984 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: Qilian station | Statement: [Tamsui–Xinyi line, hasStation, Qilian station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qilian station
Context triple: [Tamsui–Xinyi line, hasStation, Qilian station]
  • A. Haishan station
    Haishan station is a metro station on the Taipei Metro system in New Taipei City, Taiwan.
  • B. Hongqihegou Station
    Hongqihegou Station is a major interchange station on the Chongqing Metro system in Chongqing, China, serving as an important hub for passenger transfers.
  • C. Tiangongyuan station
    Tiangongyuan station is a southern terminus station on Beijing's Subway network, serving as a key endpoint for Line 4.
  • D. Tiantongyuan station
    Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
  • E. Huangsha Station
    Huangsha Station is a metro station in Guangzhou, China, serving as part of the city's Guangzhou Metro rapid transit 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: Qilian station
Triple: [Tamsui–Xinyi line, hasStation, Qilian station]
Generated description
Qilian station is a metro station on the Taipei Metro system in New Taipei City, Taiwan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qilian station
Target entity description: Qilian station is a metro station on the Taipei Metro system in New Taipei City, Taiwan.
  • A. Haishan station
    Haishan station is a metro station on the Taipei Metro system in New Taipei City, Taiwan.
  • B. Hongqihegou Station
    Hongqihegou Station is a major interchange station on the Chongqing Metro system in Chongqing, China, serving as an important hub for passenger transfers.
  • C. Tiangongyuan station
    Tiangongyuan station is a southern terminus station on Beijing's Subway network, serving as a key endpoint for Line 4.
  • D. Tiantongyuan station
    Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
  • E. Huangsha Station
    Huangsha Station is a metro station in Guangzhou, China, serving as part of the city's Guangzhou Metro rapid transit 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_69fff2a9db848190bafb959bd7511246 completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3b375d48190a958b34c5df5c5f1 completed May 10, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_69fff447e1248190a3a1386946172429 completed May 10, 2026, 2:58 a.m.
Created at: April 10, 2026, 5 a.m.