Triple
T5059311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenyang North Railway Station |
E113983
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Shenyang railway hub |
E113983
|
NE FINISHED |
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: Shenyang railway hub | Statement: [Shenyang North Railway Station, partOf, Shenyang railway hub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shenyang railway hub Context triple: [Shenyang North Railway Station, partOf, Shenyang railway hub]
-
A.
Shenyang North Railway Station
chosen
Shenyang North Railway Station is a major passenger and transportation hub in Shenyang, China, serving as one of the city’s primary railway terminals.
-
B.
Shenyang Railway Station
Shenyang Railway Station is a major railway hub in Shenyang, China, serving as a key junction for regional and national rail services.
-
C.
Huangsha Station
Huangsha Station is a metro station in Guangzhou, China, serving as part of the city's Guangzhou Metro rapid transit network.
-
D.
Tuqiao Station
Tuqiao Station is a subway station on Beijing's Batong Line serving the eastern suburbs of the city.
-
E.
Caoqiao station
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7453daac8190b2946702c6c4bd93 |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea49283f48190b5db5ad78f332f95 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.