Triple
T19445622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longgang District, Shenzhen |
E486466
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Shenzhen East railway station |
—
|
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: Shenzhen East railway station | Statement: [Longgang District, Shenzhen, hasRailwayStation, Shenzhen East railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shenzhen East railway station Context triple: [Longgang District, Shenzhen, hasRailwayStation, Shenzhen East railway station]
-
A.
Shenzhen Railway Station
Shenzhen Railway Station is a major border railway hub in Shenzhen, China, serving as a key gateway between mainland China and Hong Kong.
-
B.
Shenzhen North railway station
Shenzhen North railway station is a major high-speed rail hub in Shenzhen, China, serving as a key gateway for regional and national rail connections.
-
C.
Qianhaiwan Station
Qianhaiwan Station is a major interchange station in the Shenzhen Metro system, serving as a key hub connecting multiple metro lines in the Qianhai area.
-
D.
Guangzhou East Railway Station
Guangzhou East Railway Station is a major integrated rail and metro transport hub in Guangzhou, China, serving high-speed, intercity, and urban subway lines.
-
E.
Shenzhen Convention and Exhibition Center station
Shenzhen Convention and Exhibition Center station is a major underground metro stop in Shenzhen’s central business district that serves the city’s primary convention and exhibition complex.
- 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: Shenzhen East railway station Target entity description: Shenzhen East railway station is a major passenger rail hub in Shenzhen, China, serving regional and long-distance trains and connecting the city with numerous destinations across the country.
-
A.
Shenzhen Railway Station
Shenzhen Railway Station is a major border railway hub in Shenzhen, China, serving as a key gateway between mainland China and Hong Kong.
-
B.
Shenzhen North railway station
Shenzhen North railway station is a major high-speed rail hub in Shenzhen, China, serving as a key gateway for regional and national rail connections.
-
C.
Qianhaiwan Station
Qianhaiwan Station is a major interchange station in the Shenzhen Metro system, serving as a key hub connecting multiple metro lines in the Qianhai area.
-
D.
Guangzhou East Railway Station
Guangzhou East Railway Station is a major integrated rail and metro transport hub in Guangzhou, China, serving high-speed, intercity, and urban subway lines.
-
E.
Shenzhen Convention and Exhibition Center station
Shenzhen Convention and Exhibition Center station is a major underground metro stop in Shenzhen’s central business district that serves the city’s primary convention and exhibition complex.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338921cc819083f8f918225d78e6 |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.