Triple
T16124223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamsui–Xinyi line |
E391223
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Mingde station
Mingde station is a metro station on Taipei's Tamsui–Xinyi (Red) Line serving the Beitou District in northern Taipei, Taiwan.
|
E1323696
|
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: Mingde station | Statement: [Tamsui–Xinyi line, hasStation, Mingde station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mingde station Context triple: [Tamsui–Xinyi line, hasStation, Mingde station]
-
A.
Zhuwei station
Zhuwei station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Tamsui–Xinyi line.
-
B.
Chegongmiao station
Chegongmiao station is a major interchange station in Shenzhen, China, serving multiple Shenzhen Metro lines and connecting key commercial and business districts.
-
C.
Hongshulin station
Hongshulin station is a metro station in New Taipei, Taiwan, serving as a stop on Taipei Metro’s Tamsui–Xinyi line and an interchange with the Danhai light rail.
-
D.
Qiyan station
Qiyan station is a metro station on the Taipei Metro system in Taipei, Taiwan.
-
E.
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.
- 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: Mingde station Triple: [Tamsui–Xinyi line, hasStation, Mingde station]
Generated description
Mingde station is a metro station on Taipei's Tamsui–Xinyi (Red) Line serving the Beitou District in northern Taipei, Taiwan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mingde station Target entity description: Mingde station is a metro station on Taipei's Tamsui–Xinyi (Red) Line serving the Beitou District in northern Taipei, Taiwan.
-
A.
Zhuwei station
Zhuwei station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Tamsui–Xinyi line.
-
B.
Chegongmiao station
Chegongmiao station is a major interchange station in Shenzhen, China, serving multiple Shenzhen Metro lines and connecting key commercial and business districts.
-
C.
Hongshulin station
Hongshulin station is a metro station in New Taipei, Taiwan, serving as a stop on Taipei Metro’s Tamsui–Xinyi line and an interchange with the Danhai light rail.
-
D.
Qiyan station
Qiyan station is a metro station on the Taipei Metro system in Taipei, Taiwan.
-
E.
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.
- 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_6a03f08ba3308190bf0c338969717e28 |
completed | May 13, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_6a03f1f144988190b2201c0f7c2464de |
completed | May 13, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03f356e48c81908d74414b736303a4 |
completed | May 13, 2026, 3:43 a.m. |
Created at: April 10, 2026, 5 a.m.