Triple
T15476461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taoyuan Airport MRT |
E376791
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Qingpu Station
Qingpu Station is a metro station on Taiwan’s Taoyuan Airport MRT line serving the Qingpu area of Taoyuan City.
|
E1169959
|
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: Qingpu Station | Statement: [Taoyuan Airport MRT, hasStation, Qingpu Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qingpu Station Context triple: [Taoyuan Airport MRT, hasStation, Qingpu Station]
-
A.
Songjiang University Town station
Songjiang University Town station is a Shanghai Metro station serving the Songjiang University Town area, a major higher-education hub in Shanghai, China.
-
B.
Shanghai Stadium Station
Shanghai Stadium Station is a Shanghai Metro station serving the area around Shanghai Stadium in the Xuhui District of Shanghai, China.
-
C.
Nanpu station
Nanpu station is a metro station in Guangzhou, China, serving passengers on the city’s Line 2 rapid transit route.
-
D.
Xujiahui Station
Xujiahui Station is a major Shanghai Metro interchange and commercial hub serving the busy Xujiahui area in Shanghai, China.
-
E.
Hongqiao Road Station
Hongqiao Road Station is a major Shanghai Metro interchange station serving multiple lines in the western part of the city.
- 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: Qingpu Station Triple: [Taoyuan Airport MRT, hasStation, Qingpu Station]
Generated description
Qingpu Station is a metro station on Taiwan’s Taoyuan Airport MRT line serving the Qingpu area of Taoyuan City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qingpu Station Target entity description: Qingpu Station is a metro station on Taiwan’s Taoyuan Airport MRT line serving the Qingpu area of Taoyuan City.
-
A.
Songjiang University Town station
Songjiang University Town station is a Shanghai Metro station serving the Songjiang University Town area, a major higher-education hub in Shanghai, China.
-
B.
Shanghai Stadium Station
Shanghai Stadium Station is a Shanghai Metro station serving the area around Shanghai Stadium in the Xuhui District of Shanghai, China.
-
C.
Nanpu station
Nanpu station is a metro station in Guangzhou, China, serving passengers on the city’s Line 2 rapid transit route.
-
D.
Xujiahui Station
Xujiahui Station is a major Shanghai Metro interchange and commercial hub serving the busy Xujiahui area in Shanghai, China.
-
E.
Hongqiao Road Station
Hongqiao Road Station is a major Shanghai Metro interchange station serving multiple lines in the western part of the city.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f88a5dc8190a2d7830748e29180 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6780ee3081908a0a833d887b1829 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff68947cec8190a77cfe560a10a1ee |
completed | May 9, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff69370ed081908ab61470f126bcf9 |
completed | May 9, 2026, 5:04 p.m. |
Created at: April 10, 2026, 3:34 a.m.