Triple
T20038085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baishizhou station |
E497331
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Baishizhou area |
—
|
NE NERFINISHED |
How this triple was built (3 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: Baishizhou area | Statement: [Baishizhou station, locatedIn, Baishizhou area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baishizhou area Context triple: [Baishizhou station, locatedIn, Baishizhou area]
-
A.
Huangsha area
The Huangsha area is a commercial and transportation hub in Guangzhou, China, known for its markets, riverfront location, and connectivity via the metro system.
-
B.
Chaoshan region
The Chaoshan region is an area in eastern Guangdong, China, known for its distinct Teochew culture, language, and cuisine.
-
C.
Meixihu area
Meixihu area is a rapidly developing urban district in Changsha, Hunan, known for its modern residential complexes, cultural venues, and commercial centers around Meixi Lake.
-
D.
Xiaohaituo Mountain area
Xiaohaituo Mountain area is a mountainous region in Beijing’s Yanqing District known for hosting major winter sports venues, including facilities used during the 2022 Winter Olympics.
-
E.
Zhuzihu area
Zhuzihu area is a scenic valley on Yangmingshan in Taipei, Taiwan, famed for its seasonal calla lily fields, cool climate, and rural mountain landscapes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baishizhou area Target entity description: Baishizhou area is a densely populated urban neighborhood in Shenzhen, China, known for its large urban village, vibrant street life, and proximity to major commercial and tech districts.
-
A.
Huangsha area
The Huangsha area is a commercial and transportation hub in Guangzhou, China, known for its markets, riverfront location, and connectivity via the metro system.
-
B.
Chaoshan region
The Chaoshan region is an area in eastern Guangdong, China, known for its distinct Teochew culture, language, and cuisine.
-
C.
Meixihu area
Meixihu area is a rapidly developing urban district in Changsha, Hunan, known for its modern residential complexes, cultural venues, and commercial centers around Meixi Lake.
-
D.
Xiaohaituo Mountain area
Xiaohaituo Mountain area is a mountainous region in Beijing’s Yanqing District known for hosting major winter sports venues, including facilities used during the 2022 Winter Olympics.
-
E.
Zhuzihu area
Zhuzihu area is a scenic valley on Yangmingshan in Taipei, Taiwan, famed for its seasonal calla lily fields, cool climate, and rural mountain landscapes.
- F. None of above. chosen
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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e935ac8190900cdb4f0cfde505 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.