Triple
T26320744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yinchuan railway station |
E662100
|
entity |
| Predicate | isCapitalCityStationOf |
P160244
|
FINISHED |
| Object | Ningxia Hui Autonomous Region |
—
|
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: Ningxia Hui Autonomous Region | Statement: [Yinchuan railway station, isCapitalCityStationOf, Ningxia Hui Autonomous Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCapitalCityStationOf Context triple: [Yinchuan railway station, isCapitalCityStationOf, Ningxia Hui Autonomous Region]
-
A.
countryCapitalStationFor
Indicates a relationship where a specific station serves as the capital station associated with a particular country.
-
B.
isSuburbanStationOf
Indicates that a station is located in a suburban area and functionally serves as a subsidiary or outlying station of a main or central station.
-
C.
isMainBusStationFor
Indicates that one bus station serves as the primary or central station for a particular area, network, or service.
-
D.
hasRailwayStationOn
Indicates that a railway station is located on or serves a particular railway line, route, or network segment.
-
E.
hasStationInCity
Indicates that a station or facility is located within a particular city.
- F. None of above. chosen
Provenance (4 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60f2a5a108190879bc2acdc868dad |
completed | May 2, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 10:28 p.m.