Triple
T15645447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannan line |
E376164
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Kunyang station
Kunyang station is a metro station on the Taipei Metro system in Taiwan, serving the Bannan line in the Nangang District.
|
E1257470
|
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: Kunyang station | Statement: [Bannan line, hasStation, Kunyang station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kunyang station Context triple: [Bannan line, hasStation, Kunyang station]
-
A.
Yongning station
Yongning station is a metro station on Taipei's Bannan (Blue) Line serving the Tucheng District in New Taipei City, Taiwan.
-
B.
Kengkou station
Kengkou station is a metro station on the Guangzhou Metro network in Guangzhou, China.
-
C.
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.
-
D.
Chegongzhuang station
Chegongzhuang station is a Beijing Subway interchange station serving Line 2 and Line 6 in the Xicheng District of central Beijing.
-
E.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail 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: Kunyang station Triple: [Bannan line, hasStation, Kunyang station]
Generated description
Kunyang station is a metro station on the Taipei Metro system in Taiwan, serving the Bannan line in the Nangang District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kunyang station Target entity description: Kunyang station is a metro station on the Taipei Metro system in Taiwan, serving the Bannan line in the Nangang District.
-
A.
Yongning station
Yongning station is a metro station on Taipei's Bannan (Blue) Line serving the Tucheng District in New Taipei City, Taiwan.
-
B.
Kengkou station
Kengkou station is a metro station on the Guangzhou Metro network in Guangzhou, China.
-
C.
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.
-
D.
Chegongzhuang station
Chegongzhuang station is a Beijing Subway interchange station serving Line 2 and Line 6 in the Xicheng District of central Beijing.
-
E.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed400ec8190a14a9f7cf3092865 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0167369d9481909015c34d475fac14 |
completed | May 11, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_6a0169aeaa248190b955490c62b763a1 |
completed | May 11, 2026, 5:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016a103ec0819083dd6cf5af5a20ee |
completed | May 11, 2026, 5:33 a.m. |
Created at: April 10, 2026, 4:15 a.m.