Triple
T15645425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannan line |
E376164
|
entity |
| Predicate | hasTerminus |
P388
|
FINISHED |
| Object |
Dingpu station
Dingpu station is a metro station in New Taipei City, Taiwan, serving as the western terminus of Taipei Metro’s Bannan (Blue) line.
|
E1170392
|
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: Dingpu station | Statement: [Bannan line, hasTerminus, Dingpu station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dingpu station Context triple: [Bannan line, hasTerminus, Dingpu station]
-
A.
Jinyintan Station
Jinyintan Station is a metro station in Wuhan, China, serving passengers on the city's Line 2 rapid transit route.
-
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.
Tiantongyuan station
Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
-
D.
Xihu Station
Xihu Station is a metro station in Taipei, Taiwan, serving the Neihu District and providing access to nearby commercial and entertainment areas.
-
E.
Baiduizi station
Baiduizi station is an underground metro stop on Beijing's extensive subway network, serving passengers in the city's urban core.
- 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: Dingpu station Triple: [Bannan line, hasTerminus, Dingpu station]
Generated description
Dingpu station is a metro station in New Taipei City, Taiwan, serving as the western terminus of Taipei Metro’s Bannan (Blue) line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dingpu station Target entity description: Dingpu station is a metro station in New Taipei City, Taiwan, serving as the western terminus of Taipei Metro’s Bannan (Blue) line.
-
A.
Jinyintan Station
Jinyintan Station is a metro station in Wuhan, China, serving passengers on the city's Line 2 rapid transit route.
-
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.
Tiantongyuan station
Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
-
D.
Xihu Station
Xihu Station is a metro station in Taipei, Taiwan, serving the Neihu District and providing access to nearby commercial and entertainment areas.
-
E.
Baiduizi station
Baiduizi station is an underground metro stop on Beijing's extensive subway network, serving passengers in the city's urban core.
- 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_69ff6790f2288190add8ab0bc0f114bf |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff6bc27ef481908f5125ab553b5015 |
completed | May 9, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6c214c7881908ac483dbb8d08f29 |
completed | May 9, 2026, 5:17 p.m. |
Created at: April 10, 2026, 4:15 a.m.