Triple
T13824302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Beijing Subway) |
E332210
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Changchunjie station |
E365152
|
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: Changchunjie station | Statement: [Line 2 (Beijing Subway), hasStation, Changchunjie station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Changchunjie station Context triple: [Line 2 (Beijing Subway), hasStation, Changchunjie station]
-
A.
Changchunjie station
chosen
Changchunjie station is an underground metro station on the Beijing Subway serving the Xicheng District of Beijing, China.
-
B.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
C.
Jiantan Station
Jiantan Station is a Taipei Metro station in Taiwan that serves as a major access point for visitors to the popular Shilin Night Market.
-
D.
Wujiaochang station
Wujiaochang station is a Shanghai Metro station serving the busy Wujiaochang commercial and university district in Yangpu District.
-
E.
Daliao Station
Daliao Station is a metro station in Kaohsiung, Taiwan, serving as the eastern endpoint of the Kaohsiung MRT Orange Line.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0285fb7c8190be4b90bdc0d6fa53 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd192957008190b525778430b56ca0 |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 10:13 p.m.