Triple
T38059331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newcastle Airport Metro station |
E950296
|
entity |
| Predicate | hasCoveredWalkwayToAirport |
—
|
GENERATED |
| Object | yes |
—
|
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: hasCoveredWalkwayToAirport Context triple: [Newcastle Airport Metro station, hasCoveredWalkwayToAirport, yes]
-
A.
hasCoveredWalkway
Indicates that one place or structure is connected to another by a walkway that is sheltered or roofed.
-
B.
hasAirportWalkway
chosen
Indicates that there is a pedestrian walkway connection associated with or leading to an airport.
-
C.
hasRunwayAccessVia
Indicates that an entity has access to a runway by means of a specified connecting route, facility, or intermediary.
-
D.
hasWalkedRunwayFor
Indicates that one entity has modeled or appeared on the fashion runway in a show organized by another entity.
-
E.
hasRunwayAccessTo
Indicates that one location or facility is directly connected to another via a usable runway, allowing aircraft to move between them without leaving runway infrastructure.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.