Triple
T17278069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milton, New South Wales |
E419442
|
entity |
| Predicate | distanceFromNowra |
P62636
|
FINISHED |
| Object | approximately 60 km south |
—
|
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 60 km south | Statement: [Milton, New South Wales, distanceFromNowra, approximately 60 km south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromNowra Context triple: [Milton, New South Wales, distanceFromNowra, approximately 60 km south]
-
A.
distanceToNowra_km
chosen
Indicates the distance, measured in kilometers, from a given location or entity to Nowra.
-
B.
distanceFromStation
Indicates the measured spatial separation between an entity and a specified station.
-
C.
distanceFromMoree
Indicates the spatial distance measured from the reference location Moree to another place or entity.
-
D.
distanceFromWangaratta
Indicates the measured distance between a given location and the town of Wangaratta.
-
E.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43327b048819095fbd93b2105533a |
completed | April 19, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:40 a.m.