Triple
T18383215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing Subway Line 16 |
E446508
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Suzhoujie 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: Suzhoujie Station | Statement: [Beijing Subway Line 16, hasStation, Suzhoujie Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzhoujie Station Context triple: [Beijing Subway Line 16, hasStation, Suzhoujie Station]
-
A.
Suzhou railway station
Suzhou railway station is a major high-speed and conventional rail hub in Suzhou, Jiangsu Province, serving as a key stop on routes between Shanghai and Nanjing.
-
B.
Jiangzicui station
Jiangzicui station is a metro station on the Taipei Metro system in New Taipei City, Taiwan, serving the Bannan (Blue) Line.
-
C.
Suzhou North railway station
Suzhou North railway station is a major high-speed rail hub in Suzhou, Jiangsu, serving as an important stop on China’s east coast passenger network.
-
D.
Shuangqiao Station
chosen
Shuangqiao Station is a subway station in Beijing, China, serving as one of the stops on the city's urban rail transit network.
-
E.
Xinzhuang Station
Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179c931c8190b1c7c8284f42f7b7 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.