Triple
T15729734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tucheng District |
E381309
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object | Tucheng Station |
—
|
NE NERFINISHED |
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: Tucheng Station | Statement: [Tucheng District, hasMetroStation, Tucheng Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tucheng Station Context triple: [Tucheng District, hasMetroStation, Tucheng Station]
-
A.
Tucheng station
chosen
Tucheng station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Bannan line.
-
B.
Xicun Station
Xicun Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro network.
-
C.
Guanyinsi station
Guanyinsi station is a metro stop on Beijing’s Daxing Airport Express line serving passengers traveling between the city and Beijing Daxing International Airport.
-
D.
Xinbeitou Station
Xinbeitou Station is a Taipei Metro terminal station that serves as the main gateway to the historic Beitou hot spring district in northern Taipei, Taiwan.
-
E.
Shichahai station
Shichahai station is an underground metro stop on the Beijing Subway serving the historic Shichahai scenic area near central Beijing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 4:46 a.m.