Triple
T5474266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junee Shire |
E122910
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Wantiool
Wantiool is a rural locality within the Junee Shire local government area in New South Wales, Australia.
|
E523468
|
NE FINISHED |
How this triple was built (4 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: Wantiool | Statement: [Junee Shire, hasLocality, Wantiool]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wantiool Context triple: [Junee Shire, hasLocality, Wantiool]
-
A.
Wiip
Wiip is an independent television and film production company known for creating high-profile scripted series for major streaming platforms and networks.
-
B.
WoZ
WoZ (Wheels of Zeus) was a technology company founded by Steve Wozniak that focused on developing wireless GPS-based tracking devices and related consumer electronics.
-
C.
Toolbx
Toolbx is a Fedora project that provides containerized, mutable development environments on otherwise immutable operating systems.
-
D.
Ware
Ware is a historic market town in Hertfordshire, England, known for its riverside setting on the River Lea and its long-standing role as a local commercial and coaching center.
-
E.
Ware
Ware is a surname most prominently associated with DeMarcus Ware, a former NFL linebacker and defensive end known for his prolific pass-rushing career.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wantiool Triple: [Junee Shire, hasLocality, Wantiool]
Generated description
Wantiool is a rural locality within the Junee Shire local government area in New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wantiool Target entity description: Wantiool is a rural locality within the Junee Shire local government area in New South Wales, Australia.
-
A.
Wiip
Wiip is an independent television and film production company known for creating high-profile scripted series for major streaming platforms and networks.
-
B.
WoZ
WoZ (Wheels of Zeus) was a technology company founded by Steve Wozniak that focused on developing wireless GPS-based tracking devices and related consumer electronics.
-
C.
Toolbx
Toolbx is a Fedora project that provides containerized, mutable development environments on otherwise immutable operating systems.
-
D.
Ware
Ware is a historic market town in Hertfordshire, England, known for its riverside setting on the River Lea and its long-standing role as a local commercial and coaching center.
-
E.
Ware
Ware is a surname most prominently associated with DeMarcus Ware, a former NFL linebacker and defensive end known for his prolific pass-rushing career.
- F. None of above. chosen
Provenance (5 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9232ded08190b4142e604319b2ba |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf489a8f9881908aec81e59ed1e3e4 |
completed | March 22, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_69bf49a2071c8190bc1abc380db9383a |
completed | March 22, 2026, 1:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf4a1033f88190a609613635de9d6c |
completed | March 22, 2026, 1:46 a.m. |
Created at: March 20, 2026, 2:09 p.m.