Triple
T15645875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songshan Airport metro station |
E376174
|
entity |
| Predicate | adjacentStationOnWenhuLine |
P119589
|
FINISHED |
| Object | Dazhi metro station |
E1026812
|
NE FINISHED |
How this triple was built (2 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: Dazhi metro station | Statement: [Songshan Airport metro station, adjacentStationOnWenhuLine, Dazhi metro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dazhi metro station Context triple: [Songshan Airport metro station, adjacentStationOnWenhuLine, Dazhi metro station]
-
A.
Dazhi metro station
chosen
Dazhi metro station is a Taipei Metro station on the Wenhu (Brown) Line serving the Dazhi riverside and residential area in Taipei, Taiwan.
-
B.
Shoush Metro Station
Shoush Metro Station is a stop on Tehran’s Metro system serving passengers along Line 1 in the Shoush neighborhood.
-
C.
Xiaobitan metro station
Xiaobitan metro station is a station on Taipei Metro’s Xiaobitan branch line serving the Xindian District in New Taipei, Taiwan.
-
D.
Xicun Station
Xicun Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro network.
-
E.
Houtan station
Houtan station is a Shanghai Metro station serving the Pudong area near the Huangpu River and major venues such as the Shanghai Oriental Sports Center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ed079e48190b86ad7b66755fc1c |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:15 a.m.