Triple
T6892465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver City Highway |
E159079
|
entity |
| Predicate | isMajorTransportRouteFor |
P36974
|
FINISHED |
| Object | far‑western New South Wales |
—
|
LITERAL FINISHED |
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: far‑western New South Wales | Statement: [Silver City Highway, isMajorTransportRouteFor, far‑western New South Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorTransportRouteFor Context triple: [Silver City Highway, isMajorTransportRouteFor, far‑western New South Wales]
-
A.
hasMajorTransportationRole
Indicates that an entity plays a primary or significant role in providing or supporting transportation services or infrastructure.
-
B.
isMajorTransportLinkIn
chosen
Indicates that a transport route or connection serves as a primary or significant transportation link within a specified area or region.
-
C.
isMajorRoadIn
Indicates that a road is classified as a major road within a specified geographic area or jurisdiction.
-
D.
hasMajorRouteType
Indicates that an entity is associated with a primary classification of transportation route (such as highway, rail line, or other major route type).
-
E.
hasMajorRailLinksTo
Indicates that there are significant railway connections or routes between two locations.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d930ab548190953291d63cbc721b |
completed | March 27, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:24 p.m.