Triple
T16604364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regional New South Wales |
E403412
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Moree |
—
|
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: Moree | Statement: [Regional New South Wales, hasPart, Moree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moree Context triple: [Regional New South Wales, hasPart, Moree]
-
A.
Moree
chosen
Moree is a prominent agricultural and service town in northern New South Wales, Australia, known especially for its cotton industry and artesian hot springs.
-
B.
Menindee
Menindee is a small town in western New South Wales, Australia, known for its historic river port heritage and proximity to the Menindee Lakes system.
-
C.
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.
-
D.
Deniliquin
Deniliquin is a rural town in southern New South Wales, Australia, known for its agricultural industry and annual ute muster festival.
-
E.
Goondiwindi
Goondiwindi is a rural town in southwestern Queensland, Australia, known as an agricultural and transport hub near the New South Wales border.
- 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.