Triple
T15645432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannan line |
E376164
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Fuzhong station
Fuzhong station is a metro station on Taipei's rapid transit system, serving the Bannan (Blue) line in New Taipei City, Taiwan.
|
E1242234
|
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: Fuzhong station | Statement: [Bannan line, hasStation, Fuzhong station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuzhong station Context triple: [Bannan line, hasStation, Fuzhong station]
-
A.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
B.
Shichang station
Shichang station is a Beijing Subway station serving as the western terminus of the S1 Line in Beijing, 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.
Jiangtai Station
Jiangtai Station is a Beijing Subway station that serves as a key access point to the nearby 798 Art Zone and surrounding Chaoyang District areas.
-
E.
Kengkou station
Kengkou station is a metro station on the Guangzhou Metro network in Guangzhou, China.
- 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: Fuzhong station Triple: [Bannan line, hasStation, Fuzhong station]
Generated description
Fuzhong station is a metro station on Taipei's rapid transit system, serving the Bannan (Blue) line in New Taipei City, Taiwan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fuzhong station Target entity description: Fuzhong station is a metro station on Taipei's rapid transit system, serving the Bannan (Blue) line in New Taipei City, Taiwan.
-
A.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
B.
Shichang station
Shichang station is a Beijing Subway station serving as the western terminus of the S1 Line in Beijing, 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.
Jiangtai Station
Jiangtai Station is a Beijing Subway station that serves as a key access point to the nearby 798 Art Zone and surrounding Chaoyang District areas.
-
E.
Kengkou station
Kengkou station is a metro station on the Guangzhou Metro network in Guangzhou, China.
- 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_6a00cfb725d48190bdca0a85ca7f440c |
completed | May 10, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_6a00d1a88c188190bde3fe3c01efb453 |
completed | May 10, 2026, 6:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d20ae52c8190b4c45af68aa40399 |
completed | May 10, 2026, 6:44 p.m. |
Created at: April 10, 2026, 4:15 a.m.