Triple
T26320729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yinchuan railway station |
E662100
|
entity |
| Predicate | isMainPassengerStationOf |
P96297
|
FINISHED |
| Object | Yinchuan |
—
|
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: Yinchuan | Statement: [Yinchuan railway station, isMainPassengerStationOf, Yinchuan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainPassengerStationOf Context triple: [Yinchuan railway station, isMainPassengerStationOf, Yinchuan]
-
A.
isPassengerStationFor
chosen
Indicates that a station serves as a boarding and alighting point for passengers on a particular transportation line or service.
-
B.
isMainBusStationFor
Indicates that one bus station serves as the primary or central station for a particular area, network, or service.
-
C.
hasRailwayStationRole
Indicates that an entity holds or is assigned a specific functional role or capacity within the operation or management of a railway station.
-
D.
isMainInternationalRailStopOf
Indicates that a location serves as the primary international railway stop or station for a given area, route, or settlement.
-
E.
isRailwayStation
Indicates that the subject is a railway station, i.e., a facility where trains regularly stop to pick up or drop off passengers and/or freight.
- F. None of above.
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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 26, 2026, 10:28 p.m.