Triple
T16124205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamsui–Xinyi line |
E391223
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Xiangshan station
Xiangshan station is a Taipei Metro rapid transit station in Taipei, Taiwan, serving as the southern terminus of the Tamsui–Xinyi line.
|
E1313710
|
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: Xiangshan station | Statement: [Tamsui–Xinyi line, terminus, Xiangshan station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiangshan station Context triple: [Tamsui–Xinyi line, terminus, Xiangshan station]
-
A.
Xilang station
Xilang station is a metro station in Guangzhou, China, serving as a terminus on the city's Line 1.
-
B.
Zhongxiao Xinsheng Station
Zhongxiao Xinsheng Station is a key Taipei Metro transfer hub where multiple subway lines intersect, facilitating high passenger volumes and convenient cross-city travel.
-
C.
Xinzhuang Station
Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
-
D.
Luoxi station
Luoxi station is a metro station in Guangzhou, China, serving passengers on the city's rapid transit network.
-
E.
Xinzhuang station
Xinzhuang station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Zhonghe–Xinlu line.
- 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: Xiangshan station Triple: [Tamsui–Xinyi line, terminus, Xiangshan station]
Generated description
Xiangshan station is a Taipei Metro rapid transit station in Taipei, Taiwan, serving as the southern terminus of the Tamsui–Xinyi line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xiangshan station Target entity description: Xiangshan station is a Taipei Metro rapid transit station in Taipei, Taiwan, serving as the southern terminus of the Tamsui–Xinyi line.
-
A.
Xilang station
Xilang station is a metro station in Guangzhou, China, serving as a terminus on the city's Line 1.
-
B.
Zhongxiao Xinsheng Station
Zhongxiao Xinsheng Station is a key Taipei Metro transfer hub where multiple subway lines intersect, facilitating high passenger volumes and convenient cross-city travel.
-
C.
Xinzhuang Station
Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
-
D.
Luoxi station
Luoxi station is a metro station in Guangzhou, China, serving passengers on the city's rapid transit network.
-
E.
Xinzhuang station
Xinzhuang station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Zhonghe–Xinlu line.
- 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_6a03ac4feddc8190a96df02c61b8d7a4 |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ad0f18cc819093701d38846c595b |
completed | May 12, 2026, 10:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03ada3d1708190a6c08197a1141cf1 |
completed | May 12, 2026, 10:45 p.m. |
Created at: April 10, 2026, 5 a.m.