Triple
T16039250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daxing Line (Beijing Subway) |
E389049
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Caoqiao 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: Caoqiao station | Statement: [Daxing Line (Beijing Subway), hasStation, Caoqiao station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caoqiao station Context triple: [Daxing Line (Beijing Subway), hasStation, Caoqiao station]
-
A.
Caoqiao station
chosen
Caoqiao station is a major Beijing subway interchange that serves as the city terminus for the Daxing Airport Express, linking central Beijing with Beijing Daxing International Airport.
-
B.
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.
-
C.
Xinzhuang station
Xinzhuang station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Zhonghe–Xinlu line.
-
D.
Zhushikou station
Zhushikou station is a Beijing Subway interchange station in central Beijing, serving as a key stop near the historic Qianmen and Dashilan areas.
-
E.
Wudaokou station
Wudaokou station is a busy Beijing Subway stop in the Haidian District, known for serving a major university and tech hub area popular with students and young professionals.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833eb90c8190b10dca3ce0793ddf |
completed | April 17, 2026, 12:47 a.m. |
Created at: April 10, 2026, 4:56 a.m.