Triple
T15729737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tucheng District |
E381309
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object | Dingpu Station |
E1170392
|
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: Dingpu Station | Statement: [Tucheng District, hasMetroStation, Dingpu Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dingpu Station Context triple: [Tucheng District, hasMetroStation, Dingpu Station]
-
A.
Dingpu station
chosen
Dingpu station is a metro station in New Taipei City, Taiwan, serving as the western terminus of Taipei Metro’s Bannan (Blue) line.
-
B.
Huangsha Station
Huangsha Station is a metro station in Guangzhou, China, serving as part of the city's Guangzhou Metro rapid transit network.
-
C.
Jinyintan Station
Jinyintan Station is a metro station in Wuhan, China, serving passengers on the city's Line 2 rapid transit route.
-
D.
Xihu Station
Xihu Station is a metro station in Taipei, Taiwan, serving the Neihu District and providing access to nearby commercial and entertainment areas.
-
E.
Longze station
Longze station is a subway station on Beijing's Line 13 located in the northern part of the city.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb61cb881908b158609c1ccfa1e |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82fcb4e4819097bd0591bbcc3b71 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:46 a.m.