Triple
T20604275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East–West Line |
E506260
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | West Lake 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: West Lake station | Statement: [East–West Line, hasStation, West Lake station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Lake station Context triple: [East–West Line, hasStation, West Lake station]
-
A.
West Lake station
chosen
West Lake station is an elevated rapid transit stop in Atlanta, Georgia, on MARTA's Blue Line, serving the surrounding West Lake neighborhood and nearby communities.
-
B.
Liuyue station
Liuyue station is a metro station in Shenzhen, China, serving passengers on the city's Line 3 rapid transit route.
-
C.
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.
-
D.
Beixinjing Station
Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
-
E.
Xihu Station
Xihu Station is a metro station in Taipei, Taiwan, serving the Neihu District and providing access to nearby commercial and entertainment areas.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa233e1881908749d2f29c2946e4 |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:41 a.m.