Triple
T12579539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winton Shire |
E300297
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
town of Opalton
The town of Opalton is a remote Queensland settlement famed as one of Australia’s oldest and most significant opal-mining fields.
|
E991006
|
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: town of Opalton | Statement: [Winton Shire, contains, town of Opalton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Opalton Context triple: [Winton Shire, contains, town of Opalton]
-
A.
Town of Ontario
The Town of Ontario is a small municipality in upstate New York known for its rural character and proximity to the southern shore of Lake Ontario.
-
B.
Rooptown
Rooptown was the original name of Susanville, a small city in northeastern California.
-
C.
Littletown
Littletown is a small district or locality within the West Yorkshire village of Liversedge in northern England.
-
D.
Township of Matilda
The Township of Matilda was a former rural municipality in eastern Ontario, Canada, that later became part of the amalgamated Township of South Dundas.
-
E.
Town of Laurentian Hills
The Town of Laurentian Hills is a small rural municipality in eastern Ontario, Canada, known for its forests, outdoor recreation, and proximity to the Ottawa River.
- 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: town of Opalton Triple: [Winton Shire, contains, town of Opalton]
Generated description
The town of Opalton is a remote Queensland settlement famed as one of Australia’s oldest and most significant opal-mining fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: town of Opalton Target entity description: The town of Opalton is a remote Queensland settlement famed as one of Australia’s oldest and most significant opal-mining fields.
-
A.
Town of Ontario
The Town of Ontario is a small municipality in upstate New York known for its rural character and proximity to the southern shore of Lake Ontario.
-
B.
Rooptown
Rooptown was the original name of Susanville, a small city in northeastern California.
-
C.
Littletown
Littletown is a small district or locality within the West Yorkshire village of Liversedge in northern England.
-
D.
Township of Matilda
The Township of Matilda was a former rural municipality in eastern Ontario, Canada, that later became part of the amalgamated Township of South Dundas.
-
E.
Town of Laurentian Hills
The Town of Laurentian Hills is a small rural municipality in eastern Ontario, Canada, known for its forests, outdoor recreation, and proximity to the Ottawa River.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6559ba5108190b85be540a405eec8 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f6566fe5dc8190910bc7ad34593a58 |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65702435c8190a69e681c56a19b16 |
completed | May 2, 2026, 7:56 p.m. |
Created at: April 9, 2026, 5 p.m.