Triple
T13407372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blayney Shire |
E319995
|
entity |
| Predicate | administers |
P123
|
FINISHED |
| Object | Blayney |
E82872
|
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: Blayney | Statement: [Blayney Shire, administers, Blayney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blayney Context triple: [Blayney Shire, administers, Blayney]
-
A.
Blayney
chosen
Blayney is a rural town in New South Wales, Australia, known for its agricultural surroundings and role as a service centre in the Central Tablelands region.
-
B.
Besselsleigh
Besselsleigh is a small village and civil parish in Oxfordshire, England, known for its rural setting and historic manor.
-
C.
Bowraville
Bowraville is a small rural town in New South Wales, Australia, known for its historic main street and location in the Nambucca Valley.
-
D.
Springston
Springston is a small rural township in New Zealand’s Canterbury region, located within the Selwyn District near Christchurch.
-
E.
Myrtleford
Myrtleford is a rural town in northeastern Victoria, Australia, known for its agriculture, wineries, and proximity to the Alpine region.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4be498819094798473a1bfd853 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9ec6848190b8e986d849756050 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:35 p.m.