Triple
T16604359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regional New South Wales |
E403412
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Goulburn |
—
|
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: Goulburn | Statement: [Regional New South Wales, hasPart, Goulburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goulburn Context triple: [Regional New South Wales, hasPart, Goulburn]
-
A.
Goulburn
chosen
Goulburn is a regional city in New South Wales, Australia, known as one of the country’s earliest inland settlements and a key agricultural and transport hub.
-
B.
Katoomba
Katoomba is a popular town in New South Wales, Australia, known as the main tourist hub of the Blue Mountains with attractions like the Three Sisters rock formation and scenic bushwalking trails.
-
C.
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.
-
D.
Murrumbucca
Murrumbucca is a rural locality in the Snowy Monaro region of New South Wales, Australia.
-
E.
Deniliquin
Deniliquin is a rural town in southern New South Wales, Australia, known for its agricultural industry and annual ute muster festival.
- 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.