Triple
T14221525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nandewar Range |
E352505
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Barraba |
E909549
|
NE 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: Barraba | Statement: [Nandewar Range, hasNearbyTown, Barraba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barraba Context triple: [Nandewar Range, hasNearbyTown, Barraba]
-
A.
Barraba
chosen
Barraba is a small rural town in northern New South Wales, Australia, known for its agricultural activities and proximity to the Nandewar Range.
-
B.
Corbie
Corbie is a historic commune in northern France known for its medieval abbey and role in regional religious and cultural history.
-
C.
Bazza
Bazza is a common Australian diminutive or nickname for the given name Barry.
-
D.
Fawkner
Fawkner is a suburb in Melbourne, Victoria, Australia, known for its residential character and the large Fawkner Memorial Park cemetery.
-
E.
Barooga
Barooga is a small town in southern New South Wales, Australia, known for its Murray River location and recreational attractions such as golf courses and riverfront activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6213801c8190a47705cd890b9ae7 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324f501081908f7017302bc40b3a |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:06 a.m.