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.