Triple
T12522307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wheatbelt region |
E299347
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Wagin
Wagin is a rural town in Western Australia known for its sheep-farming heritage and the iconic Giant Ram landmark.
|
E1002152
|
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: Wagin | Statement: [Wheatbelt region, hasTown, Wagin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wagin Context triple: [Wheatbelt region, hasTown, Wagin]
-
A.
Wangaratta
Wangaratta is a regional city in northeastern Victoria, Australia, known as a service and commercial hub for the surrounding rural and wine-producing areas.
-
B.
Tullamarine
Tullamarine is a suburb in Melbourne, Australia, best known for being the location of Melbourne Airport.
-
C.
Wilcannia
Wilcannia is a small, remote town in far western New South Wales, Australia, historically significant as a river port and situated on the Darling River.
-
D.
Morwell
Morwell is a regional city in Victoria, Australia, known as an industrial and energy-production hub in the Latrobe Valley.
-
E.
Narrandera
Narrandera is a rural town in the Riverina region of New South Wales, Australia, known for its agricultural production and historic riverside setting.
- 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: Wagin Triple: [Wheatbelt region, hasTown, Wagin]
Generated description
Wagin is a rural town in Western Australia known for its sheep-farming heritage and the iconic Giant Ram landmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wagin Target entity description: Wagin is a rural town in Western Australia known for its sheep-farming heritage and the iconic Giant Ram landmark.
-
A.
Wangaratta
Wangaratta is a regional city in northeastern Victoria, Australia, known as a service and commercial hub for the surrounding rural and wine-producing areas.
-
B.
Tullamarine
Tullamarine is a suburb in Melbourne, Australia, best known for being the location of Melbourne Airport.
-
C.
Wilcannia
Wilcannia is a small, remote town in far western New South Wales, Australia, historically significant as a river port and situated on the Darling River.
-
D.
Morwell
Morwell is a regional city in Victoria, Australia, known as an industrial and energy-production hub in the Latrobe Valley.
-
E.
Narrandera
Narrandera is a rural town in the Riverina region of New South Wales, Australia, known for its agricultural production and historic riverside setting.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545c2aa081908e8a5a94d30e23eb |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684d4821c8190aa29db4b35262e8e |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f687100b1c8190a9aa530a5844282f |
completed | May 2, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68774c6e08190a8f47405d5d972c7 |
completed | May 2, 2026, 11:23 p.m. |
Created at: April 8, 2026, 9:57 p.m.