Triple
T12522311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wheatbelt region |
E299347
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Beverley
Beverley is a small rural town in Western Australia known for its agricultural community and historic country character.
|
E986589
|
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: Beverley | Statement: [Wheatbelt region, hasTown, Beverley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beverley Context triple: [Wheatbelt region, hasTown, Beverley]
-
A.
Beverley
Beverley is a historic market town and civil parish in the East Riding of Yorkshire, England, known for its impressive Gothic minster and medieval architecture.
-
B.
Bewley
Bewley is an English-language surname borne by various notable individuals across fields such as acting, sports, and public service.
-
C.
Yorkton
Yorkton is a small city in southeastern Saskatchewan, Canada, known as a regional hub for agriculture and services.
-
D.
Barrowfield
Barrowfield is a residential district in Glasgow, Scotland, known historically for its working-class community and proximity to major football and industrial sites in the city's East End.
-
E.
Bakewell
Bakewell is a historic market town in Derbyshire, England, famed for its traditional Bakewell pudding and its picturesque setting in the Peak District.
- 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: Beverley Triple: [Wheatbelt region, hasTown, Beverley]
Generated description
Beverley is a small rural town in Western Australia known for its agricultural community and historic country character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beverley Target entity description: Beverley is a small rural town in Western Australia known for its agricultural community and historic country character.
-
A.
Beverley
Beverley is a historic market town and civil parish in the East Riding of Yorkshire, England, known for its impressive Gothic minster and medieval architecture.
-
B.
Bewley
Bewley is an English-language surname borne by various notable individuals across fields such as acting, sports, and public service.
-
C.
Yorkton
Yorkton is a small city in southeastern Saskatchewan, Canada, known as a regional hub for agriculture and services.
-
D.
Barrowfield
Barrowfield is a residential district in Glasgow, Scotland, known historically for its working-class community and proximity to major football and industrial sites in the city's East End.
-
E.
Bakewell
Bakewell is a historic market town in Derbyshire, England, famed for its traditional Bakewell pudding and its picturesque setting in the Peak District.
- 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_69f64bc159c88190835fea5c0d9ee799 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64def9a6081908c3048f948829051 |
completed | May 2, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64ea1719c8190b91ffaab60db25ad |
completed | May 2, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:57 p.m.