Triple
T21948831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhengzhou railway station |
E542006
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Zhengzhou 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: Zhengzhou Station | Statement: [Zhengzhou railway station, hasAbbreviation, Zhengzhou Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhengzhou Station Context triple: [Zhengzhou railway station, hasAbbreviation, Zhengzhou Station]
-
A.
Zhengzhou railway station
chosen
Zhengzhou railway station is a key passenger and freight railway hub in central China, serving as a major junction connecting multiple national rail lines.
-
B.
Zhengzhou East railway station
Zhengzhou East railway station is a major high-speed rail hub in central China, serving as a key interchange on several national high-speed railway corridors.
-
C.
Nanzhou station
Nanzhou station is a metro station in Guangzhou, China, serving as an interchange hub within the city's urban rail network.
-
D.
Banqiao Station
Banqiao Station is a major transportation hub in New Taipei, Taiwan, serving high-speed rail, conventional rail, metro, and bus services.
-
E.
Dongshankou Station
Dongshankou Station is an underground interchange station on the Guangzhou Metro system serving the Dongshan area of Guangzhou, China.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243aed048190b4342899c83b38ec |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:58 p.m.