Triple
T16604378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regional New South Wales |
E403412
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Inverell |
—
|
NE NERFINISHED |
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: Inverell | Statement: [Regional New South Wales, hasPart, Inverell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inverell Context triple: [Regional New South Wales, hasPart, Inverell]
-
A.
Inverell
chosen
Inverell is a rural town in northern New South Wales, Australia, known for its sapphire mining and agricultural production.
-
B.
Dungog
Dungog is a small rural town in New South Wales, Australia, known for its historic architecture, dairy farming, and proximity to the Barrington Tops National Park.
-
C.
Mudgee
Mudgee is a historic town in New South Wales, Australia, renowned for its cool-climate wineries, heritage architecture, and vibrant food and wine tourism.
-
D.
Benalla
Benalla is a regional town in northeastern Victoria, Australia, known for its art, lake, and role as a service centre along major transport routes.
-
E.
Boorowa
Boorowa is a rural town in New South Wales, Australia, known for its rich agricultural surroundings and heritage streetscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3608ff1a481909084e7ad984b0f95 |
completed | April 18, 2026, 10:44 a.m. |
Created at: April 10, 2026, 5:17 a.m.