Triple
T17523066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wudaokou station |
E426723
|
entity |
| Predicate | adjacentStation |
P5707
|
FINISHED |
| Object | Zhichunlu 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: Zhichunlu station | Statement: [Wudaokou station, adjacentStation, Zhichunlu station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhichunlu station Context triple: [Wudaokou station, adjacentStation, Zhichunlu station]
-
A.
Zhichunlu station
chosen
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
B.
Zhishan station
Zhishan station is a metro station on the Taipei Metro system in Taipei, Taiwan.
-
C.
Zhuwei station
Zhuwei station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Tamsui–Xinyi line.
-
D.
Jiangzicui station
Jiangzicui station is a metro station on the Taipei Metro system in New Taipei City, Taiwan, serving the Bannan (Blue) Line.
-
E.
Qizhang station
Qizhang station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Tamsui–Xinyi line.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d40ee08190b79d8e3d7f1b1272 |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.