Triple
T31908149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanning railway station |
E814610
|
entity |
| Predicate | operatorCountryRailway |
P68975
|
FINISHED |
| Object | China Railway |
—
|
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: China Railway | Statement: [Wanning railway station, operatorCountryRailway, China Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorCountryRailway Context triple: [Wanning railway station, operatorCountryRailway, China Railway]
-
A.
isNationalRailwaySystemOf
Indicates that one entity functions as the official national railway system serving and operating within the territory of another entity.
-
B.
railAuthority
chosen
Indicates that an entity has official regulatory or operational control over railway systems or services.
-
C.
railwayStationInCountry
Indicates that a railway station is located within the borders of a specified country.
-
D.
countryRailConnection
Indicates that there is a railway connection or service linking two countries.
-
E.
railwayStationOnLine
Indicates that a particular railway station is located on and served by a specified railway line.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
Created at: May 1, 2026, 12:01 a.m.