Triple
T16124218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamsui–Xinyi line |
E391223
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Fuxinggang station
Fuxinggang station is a metro station on the Taipei Metro system in Taiwan, serving the Beitou District along the Tamsui–Xinyi line.
|
E1321742
|
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: Fuxinggang station | Statement: [Tamsui–Xinyi line, hasStation, Fuxinggang station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuxinggang station Context triple: [Tamsui–Xinyi line, hasStation, Fuxinggang station]
-
A.
Nanshijiao station
Nanshijiao station is a metro station in New Taipei, Taiwan, serving as a key terminal stop on the Taipei Metro system.
-
B.
Huangsha Station
Huangsha Station is a metro station in Guangzhou, China, serving as part of the city's Guangzhou Metro rapid transit network.
-
C.
Zhuwei station
Zhuwei station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Tamsui–Xinyi line.
-
D.
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.
-
E.
Zuoying Station
Zuoying Station is a major transportation hub in Kaohsiung, Taiwan, serving high-speed rail, conventional rail, and metro services.
- 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: Fuxinggang station Triple: [Tamsui–Xinyi line, hasStation, Fuxinggang station]
Generated description
Fuxinggang station is a metro station on the Taipei Metro system in Taiwan, serving the Beitou District along the Tamsui–Xinyi line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fuxinggang station Target entity description: Fuxinggang station is a metro station on the Taipei Metro system in Taiwan, serving the Beitou District along the Tamsui–Xinyi line.
-
A.
Nanshijiao station
Nanshijiao station is a metro station in New Taipei, Taiwan, serving as a key terminal stop on the Taipei Metro system.
-
B.
Huangsha Station
Huangsha Station is a metro station in Guangzhou, China, serving as part of the city's Guangzhou Metro rapid transit network.
-
C.
Zhuwei station
Zhuwei station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Tamsui–Xinyi line.
-
D.
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.
-
E.
Zuoying Station
Zuoying Station is a major transportation hub in Kaohsiung, Taiwan, serving high-speed rail, conventional rail, and metro services.
- 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_6a03d75acf8c819097af363f3ba93ae0 |
completed | May 13, 2026, 1:43 a.m. |
| NEDg | Description generation | batch_6a03d8776b0c819094ffeedfc780ed58 |
completed | May 13, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03dc489164819086d72b120830e60c |
completed | May 13, 2026, 2:04 a.m. |
Created at: April 10, 2026, 5 a.m.