Triple
T16124239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamsui–Xinyi line |
E391223
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Dapinglin station
Dapinglin station is a metro station on the Taipei Metro system in New Taipei City, Taiwan.
|
E1334634
|
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: Dapinglin station | Statement: [Tamsui–Xinyi line, hasStation, Dapinglin station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dapinglin station Context triple: [Tamsui–Xinyi line, hasStation, Dapinglin station]
-
A.
Weiwuying Station
Weiwuying Station is an underground metro station in Kaohsiung, Taiwan, serving the Weiwuying area and providing access to the nearby National Kaohsiung Center for the Arts.
-
B.
Qibao Station
Qibao Station is a Shanghai Metro station serving the historic Qibao area in Minhang District, known for providing convenient transit access to this popular suburban neighborhood.
-
C.
Liyuan Station
Liyuan Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
-
D.
Beixinjing Station
Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
-
E.
Luyuan station
Luyuan station is a subway station on Beijing's Line 8 serving passengers in the city's urban transit network.
- 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: Dapinglin station Triple: [Tamsui–Xinyi line, hasStation, Dapinglin station]
Generated description
Dapinglin station is a metro station on the Taipei Metro system in New Taipei City, Taiwan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dapinglin station Target entity description: Dapinglin station is a metro station on the Taipei Metro system in New Taipei City, Taiwan.
-
A.
Weiwuying Station
Weiwuying Station is an underground metro station in Kaohsiung, Taiwan, serving the Weiwuying area and providing access to the nearby National Kaohsiung Center for the Arts.
-
B.
Qibao Station
Qibao Station is a Shanghai Metro station serving the historic Qibao area in Minhang District, known for providing convenient transit access to this popular suburban neighborhood.
-
C.
Liyuan Station
Liyuan Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
-
D.
Beixinjing Station
Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
-
E.
Luyuan station
Luyuan station is a subway station on Beijing's Line 8 serving passengers in the city's urban transit network.
- 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_6a050d5b83cc8190ba333d90973335a9 |
completed | May 13, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_6a050efd8fe8819094f7a7a1a5edf4c5 |
completed | May 13, 2026, 11:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050f66fd6c8190a7e5750f214018b4 |
completed | May 13, 2026, 11:55 p.m. |
Created at: April 10, 2026, 5 a.m.