Triple
T15006031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coolamon, New South Wales |
E377713
|
entity |
| Predicate | distanceTo Wagga Wagga |
P16352
|
FINISHED |
| Object | approximately 40 kilometres northwest |
—
|
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: approximately 40 kilometres northwest | Statement: [Coolamon, New South Wales, distanceTo Wagga Wagga, approximately 40 kilometres northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceTo Wagga Wagga Context triple: [Coolamon, New South Wales, distanceTo Wagga Wagga, approximately 40 kilometres northwest]
-
A.
distanceFromWaggaWagga_km
chosen
Indicates the numerical distance, measured in kilometers, between an entity’s location and Wagga Wagga.
-
B.
distanceFromWangaratta
Indicates the measured distance between a given location and the town of Wangaratta.
-
C.
distanceToGoulburn
Indicates the spatial distance between a given entity or location and the place named Goulburn.
-
D.
distanceFromGundagai
Indicates the spatial distance separating something from the location of Gundagai.
-
E.
distanceFromCowra
Indicates the spatial distance between a given location and the place named Cowra.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7322b5c81909089cbbf816e1436 |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:54 a.m.