Triple
T15645439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannan line |
E376164
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Shandao Temple station
Shandao Temple station is a metro station on the Taipei Metro system in Taiwan, serving the area around the historic Shandao Temple.
|
E1249296
|
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: Shandao Temple station | Statement: [Bannan line, hasStation, Shandao Temple station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shandao Temple station Context triple: [Bannan line, hasStation, Shandao Temple station]
-
A.
Longshan Temple station
Longshan Temple station is a Taipei Metro rapid transit station serving the historic Wanhua district and the nearby Longshan Temple.
-
B.
Guanyinsi station
Guanyinsi station is a metro stop on Beijing’s Daxing Airport Express line serving passengers traveling between the city and Beijing Daxing International Airport.
-
C.
Xianse Temple Station
Xianse Temple Station is a metro station in New Taipei, Taiwan, that serves the Sanchong District on the Taipei Metro network.
-
D.
Xicun Station
Xicun Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro network.
-
E.
Pingxifu station
Pingxifu station is a subway station in Beijing, China, serving passengers on the city's Line 8 metro route.
- 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: Shandao Temple station Triple: [Bannan line, hasStation, Shandao Temple station]
Generated description
Shandao Temple station is a metro station on the Taipei Metro system in Taiwan, serving the area around the historic Shandao Temple.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shandao Temple station Target entity description: Shandao Temple station is a metro station on the Taipei Metro system in Taiwan, serving the area around the historic Shandao Temple.
-
A.
Longshan Temple station
Longshan Temple station is a Taipei Metro rapid transit station serving the historic Wanhua district and the nearby Longshan Temple.
-
B.
Guanyinsi station
Guanyinsi station is a metro stop on Beijing’s Daxing Airport Express line serving passengers traveling between the city and Beijing Daxing International Airport.
-
C.
Xianse Temple Station
Xianse Temple Station is a metro station in New Taipei, Taiwan, that serves the Sanchong District on the Taipei Metro network.
-
D.
Xicun Station
Xicun Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro network.
-
E.
Pingxifu station
Pingxifu station is a subway station in Beijing, China, serving passengers on the city's Line 8 metro route.
- 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_6a012ec19c508190912c3fe186f8a992 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a01313d46908190a8e6df35a4bcf7e8 |
completed | May 11, 2026, 1:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013198d2d08190b593694809ac2ad6 |
completed | May 11, 2026, 1:32 a.m. |
Created at: April 10, 2026, 4:15 a.m.