Triple
T31429652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XHK |
E801759
|
entity |
| Predicate | associatedRailNetwork |
—
|
GENERATED |
| Object | TGV |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedRailNetwork Context triple: [XHK, associatedRailNetwork, TGV]
-
A.
relatedRailroad
Indicates that there is an association or connection between an entity and a specific railroad, such as ownership, operation, service, or historical linkage.
-
B.
railroadNetwork
Indicates a relationship where locations are connected as part of the same system of railway lines and infrastructure used for train transport.
-
C.
belongsToRailNetwork
chosen
Indicates that something is part of, or included within, a specific rail network.
-
D.
railNetworkRole
Indicates the specific function or responsibility an entity has within a rail network system.
-
E.
operatesRailNetworkOf
Indicates that one entity manages and runs the rail network belonging to or associated with another entity.
- F. None of above.
Provenance (1 batch)
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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 8:56 p.m.