Triple
T15665355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wenhu line |
E377171
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Wende station
Wende station is a metro station on Taipei's Wenhu (Brown) Line serving the Neihu District in Taiwan.
|
E1169938
|
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: Wende station | Statement: [Wenhu line, hasStation, Wende station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wende station Context triple: [Wenhu line, hasStation, Wende station]
-
A.
Paulina station
Paulina station is an elevated Chicago 'L' rapid transit stop in the Lakeview neighborhood, served by the Brown Line.
-
B.
Recreo station
Recreo station is a passenger rail station on the Valparaíso Metro system in Chile, serving the coastal area between Valparaíso and Viña del Mar.
-
C.
Tannowa Station
Tannowa Station is a railway station in Misaki, Osaka Prefecture, Japan, operated by Nankai Electric Railway on the Tanagawa Line.
-
D.
Kwinana station
Kwinana station is a suburban passenger railway station in Perth, Western Australia, serving the Kwinana area on the Mandurah line.
-
E.
Insein station
Insein station is a railway stop in the Insein Township of Yangon, Myanmar, serving passengers on the Yangon Circular Railway commuter line.
- 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: Wende station Triple: [Wenhu line, hasStation, Wende station]
Generated description
Wende station is a metro station on Taipei's Wenhu (Brown) Line serving the Neihu District in Taiwan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wende station Target entity description: Wende station is a metro station on Taipei's Wenhu (Brown) Line serving the Neihu District in Taiwan.
-
A.
Paulina station
Paulina station is an elevated Chicago 'L' rapid transit stop in the Lakeview neighborhood, served by the Brown Line.
-
B.
Recreo station
Recreo station is a passenger rail station on the Valparaíso Metro system in Chile, serving the coastal area between Valparaíso and Viña del Mar.
-
C.
Tannowa Station
Tannowa Station is a railway station in Misaki, Osaka Prefecture, Japan, operated by Nankai Electric Railway on the Tanagawa Line.
-
D.
Kwinana station
Kwinana station is a suburban passenger railway station in Perth, Western Australia, serving the Kwinana area on the Mandurah line.
-
E.
Insein station
Insein station is a railway stop in the Insein Township of Yangon, Myanmar, serving passengers on the Yangon Circular Railway commuter line.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0f4df08190ad2c5d78e435d8eb |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff679ff4648190a2f05d6445fa59df |
completed | May 9, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_69ff68af38848190975e374b2c8c917b |
completed | May 9, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff69660b6c819082dbdf06db1c8fe3 |
completed | May 9, 2026, 5:05 p.m. |
Created at: April 10, 2026, 4:16 a.m.